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Olawade DB, Teke J, Fapohunda O, Weerasinghe K, Usman SO, Ige AO, Clement David-Olawade A. Leveraging artificial intelligence in vaccine development: A narrative review. J Microbiol Methods 2024; 224:106998. [PMID: 39019262 DOI: 10.1016/j.mimet.2024.106998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 07/12/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
Vaccine development stands as a cornerstone of public health efforts, pivotal in curbing infectious diseases and reducing global morbidity and mortality. However, traditional vaccine development methods are often time-consuming, costly, and inefficient. The advent of artificial intelligence (AI) has ushered in a new era in vaccine design, offering unprecedented opportunities to expedite the process. This narrative review explores the role of AI in vaccine development, focusing on antigen selection, epitope prediction, adjuvant identification, and optimization strategies. AI algorithms, including machine learning and deep learning, leverage genomic data, protein structures, and immune system interactions to predict antigenic epitopes, assess immunogenicity, and prioritize antigens for experimentation. Furthermore, AI-driven approaches facilitate the rational design of immunogens and the identification of novel adjuvant candidates with optimal safety and efficacy profiles. Challenges such as data heterogeneity, model interpretability, and regulatory considerations must be addressed to realize the full potential of AI in vaccine development. Integrating emerging technologies, such as single-cell omics and synthetic biology, promises to enhance vaccine design precision and scalability. This review underscores the transformative impact of AI on vaccine development and highlights the need for interdisciplinary collaborations and regulatory harmonization to accelerate the delivery of safe and effective vaccines against infectious diseases.
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Affiliation(s)
- David B Olawade
- Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom.
| | - Jennifer Teke
- Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom
| | | | - Kusal Weerasinghe
- Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom
| | - Sunday O Usman
- Department of Systems and Industrial Engineering, University of Arizona, USA
| | - Abimbola O Ige
- Department of Chemistry, Faculty of Science, University of Ibadan, Ibadan, Nigeria
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Khan S, Ahmad N, Fazal H, Saleh IA, Abdel-Maksoud MA, Malik A, AbdElgayed G, Jalal A, Rauf K, Ali L, Ullah S, Niqabullah, Ahmad S. Exploring stevioside binding affinity with various proteins and receptors actively involved in the signaling pathway and a future candidate for diabetic patients. Front Pharmacol 2024; 15:1377916. [PMID: 39170696 PMCID: PMC11335537 DOI: 10.3389/fphar.2024.1377916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 07/16/2024] [Indexed: 08/23/2024] Open
Abstract
Introduction and Background: Diabetes is a chronic metabolic disease characterized by elevated blood glucose levels and is one of the main global health concerns. Synthetic sugar substrate has many side effects such as leukemia, bladder cancer, hepatotoxicity, breast cancer, headache, and brain toxicity. The WHO and FDA has recently banned some of the synthetic sugar alternatives due to their carcinogenic effects. Objective and Methodology: Therefore, the main objective of the current study was to investigate the safety and binding affinity of Stevioside with Glucose Transpoter-4 (GLUT-4), Akt, Insulin Receptor (IR) and Insulin Receptor Substrate-1 (IRS-1) to confirmed that Stevioside is one the potent natural sweetener/drug for diabetes. This study delves into the molecular interaction between Stevioside and key diabetic proteins: GLUT-4, Akt, IR and IRS-1. A precise molecular docking approach was used to simulate the binding affinity of Stevioside to these proteins. The pharmacokinetic properties of the molecule should be taken into consideration as important variables throughout the virtual screening process. Results: The result of active site analysis of GLUT-4, Akt, IR and IRS-1 showed a zone of 2158.359 Ǻ2, 579.259 Ǻ2, 762.651 Ǻ2, and 152.167 Ǻ2 and a volume of 2765.094 Ǻ³, 355.567 Ǻ³, 686.806 Ǻ³, and 116.874 Ǻ³, respectively. Docking analysis of the Stevioside compound showed the highest docking energy with scores of -9.9 with GLUT-4, -6.7 with Akt, -8.0 with IR and -8.8 with IRS-1. Studies indicated that it remains undigested by stomach acids and enzymes and is not absorbed in the upper small intestine. Further, tests revealed no hepatotoxicity, AMES toxicity, or skin sensitivity, making it a promising candidate for safe consumption as drug metabolism. Conclusion and Recommendations: Instead of other sugar alternatives, Stevioside will help diabetic patients with a lower chance of infections, lowered blood pressure/blood sugar, and increased glucose uptake in diabetic muscles. Stevioside is a natural sweetener, and the current study recommends its usage in various dietary products for diabetic patients.
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Affiliation(s)
- Salman Khan
- Center for Biotechnology and Microbiology, University of Swat, Swat, Pakistan
| | - Nisar Ahmad
- Center for Biotechnology and Microbiology, University of Swat, Swat, Pakistan
| | - Hina Fazal
- Pakistan Council of Scientific and Industrial Research (PCSIR) Laboratories Complex, Peshawar, Pakistan
| | | | - Mostafa A. Abdel-Maksoud
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Abdul Malik
- Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Gehad AbdElgayed
- Integrated Molecular Plant Physiology Research, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Arshad Jalal
- São Paulo State University (UNESP), Ilha Solteira, Brazil
| | - Kamran Rauf
- Department of Horticulture the University of Agriculture Peshawar, Peshawar, Pakistan
| | - Liaqat Ali
- Center for Biotechnology and Microbiology, University of Swat, Swat, Pakistan
| | - Sami Ullah
- Center for Biotechnology and Microbiology, University of Swat, Swat, Pakistan
| | - Niqabullah
- Department of General Medicine, Semey Medical University Kazakhstan, Semey, Kazakhstan
| | - Sajjad Ahmad
- Center for Biotechnology and Microbiology, University of Swat, Swat, Pakistan
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Islam MA, Hossain MS, Hasnat S, Shuvo MH, Akter S, Maria MA, Tahcin A, Hossain MA, Hoque MN. In-silico study unveils potential phytocompounds in Andrographis paniculata against E6 protein of the high-risk HPV-16 subtype for cervical cancer therapy. Sci Rep 2024; 14:17182. [PMID: 39060289 PMCID: PMC11282209 DOI: 10.1038/s41598-024-65112-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Accepted: 06/17/2024] [Indexed: 07/28/2024] Open
Abstract
Despite therapeutic advancements, cervical cancer caused by high-risk subtypes of the human papillomavirus (HPV) remains a leading cause of cancer-related deaths among women worldwide. This study aimed to discover potential drug candidates from the Asian medicinal plant Andrographis paniculata, demonstrating efficacy against the E6 protein of high-risk HPV-16 subtype through an in-silico computational approach. The 3D structures of 32 compounds (selected from 42) derived from A. paniculata, exhibiting higher binding affinity, were obtained from the PubChem database. These structures underwent subsequent analysis and screening based on criteria including binding energy, molecular docking, drug likeness and toxicity prediction using computational techniques. Considering the spectrometry, pharmacokinetic properties, docking results, drug likeliness, and toxicological effects, five compounds-stigmasterol, 1H-Indole-3-carboxylic acid, 5-methoxy-, methyl ester (AP7), andrographolide, apigenin and wogonin-were selected as the potential inhibitors against the E6 protein of HPV-16. We also performed 200 ns molecular dynamics simulations of the compounds to analyze their stability and interactions as protein-ligand complexes using imiquimod (CID-57469) as a control. Screened compounds showed favorable characteristics, including stable root mean square deviation values, minimal root mean square fluctuations and consistent radius of gyration values. Intermolecular interactions, such as hydrogen bonds and hydrophobic contacts, were sustained throughout the simulations. The compounds displayed potential affinity, as indicated by negative binding free energy values. Overall, findings of this study suggest that the selected compounds have the potential to act as inhibitors against the E6 protein of HPV-16, offering promising prospects for the treatment and management of CC.
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Affiliation(s)
- Md Aminul Islam
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, 2310, Bangladesh.
| | - Md Shohel Hossain
- Department of Pharmacy, Jahangirnagar University, Savar, Dhaka, Bangladesh
| | - Soharth Hasnat
- Molecular Biology and Bioinformatics Laboratory, Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh
| | - Mahmudul Hasan Shuvo
- Department of Biochemistry and Molecular Biology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - Shilpy Akter
- Department of Pharmacy, Comilla University, Shalmanpur, Bangladesh
| | - Mustary Anjum Maria
- Department of Biochemistry and Molecular Biology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - Anika Tahcin
- Department of Biochemistry and Molecular Biology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
| | - Md Arju Hossain
- Department of Microbiology, Primeasia University, Dhaka, 1213, Bangladesh
| | - M Nazmul Hoque
- Molecular Biology and Bioinformatics Laboratory, Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
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Lim CP, Leow CH, Lim HT, Kok BH, Chuah C, Oliveira JIN, Jones M, Leow CY. Insights into structural vaccinology harnessed for universal coronavirus vaccine development. Clin Exp Vaccine Res 2024; 13:202-217. [PMID: 39144127 PMCID: PMC11319108 DOI: 10.7774/cevr.2024.13.3.202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 08/16/2024] Open
Abstract
Structural vaccinology is pivotal in expediting vaccine design through high-throughput screening of immunogenic antigens. Leveraging the structural and functional characteristics of antigens and immune cell receptors, this approach employs protein structural comparison to identify conserved patterns in key pathogenic components. Molecular modeling techniques, including homology modeling and molecular docking, analyze specific three-dimensional (3D) structures and protein interactions and offer valuable insights into the 3D interactions and binding affinity between vaccine candidates and target proteins. In this review, we delve into the utilization of various immunoinformatics and molecular modeling tools to streamline the development of broad-protective vaccines against coronavirus disease 2019 variants. Structural vaccinology significantly enhances our understanding of molecular interactions between hosts and pathogens. By accelerating the pace of developing effective and targeted vaccines, particularly against the rapidly mutating severe acute respiratory syndrome coronavirus 2 and other prevalent infectious diseases, this approach stands at the forefront of advancing immunization strategies. The combination of computational techniques and structural insights not only facilitates the identification of potential vaccine candidates but also contributes to the rational design of vaccines, fostering a more efficient and targeted approach to combatting infectious diseases.
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Affiliation(s)
- Chin Peng Lim
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia
| | - Chiuan Herng Leow
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia
| | - Hui Ting Lim
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia
| | - Boon Hui Kok
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Gelugor, Malaysia
| | - Candy Chuah
- Faculty of Medicine, Asian Institute of Medical Science and Technology University, Bedong, Malaysia
| | - Jonas Ivan Nobre Oliveira
- Department of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Malcolm Jones
- School of Veterinary Science, The University of Queensland, Gatton, Australia
| | - Chiuan Yee Leow
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia
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Yazdani Z, Rafiei A, Momenizadeh M, Abediankenari S, Yazdani M, Lagzian M. Designing novel peptides for detecting the Omicron variant, specifying SARS-CoV-2, and simultaneously screening coronavirus infections. J Biomol Struct Dyn 2024; 42:4759-4768. [PMID: 37306566 DOI: 10.1080/07391102.2023.2222821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 06/02/2023] [Indexed: 06/13/2023]
Abstract
In this study in silico a candidate diagnostic peptide-based tool was designed in four stages including diagnosis of coronavirus diseases, simultaneously identifying of COVID-19 and SARS from other members of this family, specific identification of SARS-CoV2, and diagnosis of COVID-19 Omicron. Designed candidate peptides consist of four immunodominant peptides from the proteins of the SARS-CoV-2 spike (S) and membrane (M). The tertiary structure of each peptide was predicted. The stimulation ability of the humoral immunity for each peptide was evaluated. Finally, in silico cloning was performed to develop an expression strategy for each peptide. These four peptides have suitable immunogenicity, appropriate construct, and the ability to be expressed in E.coli. These results must be experimentally validated in vitro and in vivo to ensure the immunogenicity of the kit.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Zahra Yazdani
- Department of Immunology, Molecular and Cell Biology Research Center, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- Students Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Alireza Rafiei
- Department of Immunology, Molecular and Cell Biology Research Center, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Mahdi Momenizadeh
- Students Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Saeid Abediankenari
- Immunogenetics Research Center, Department of Immunology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | | | - Milad Lagzian
- Department of Biology, Faculty of Sciences, University of Sistan and Baluchestan, Zahedan, Iran
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Mubarak AS, Ameen ZS, Hassan AS, Ozsahin DU. Enhancing tuberculosis vaccine development: a deconvolution neural network approach for multi-epitope prediction. Sci Rep 2024; 14:10375. [PMID: 38710737 DOI: 10.1038/s41598-024-59291-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 04/09/2024] [Indexed: 05/08/2024] Open
Abstract
Tuberculosis (TB) a disease caused by Mycobacterium tuberculosis (Mtb) poses a significant threat to human life, and current BCG vaccinations only provide sporadic protection, therefore there is a need for developing efficient vaccines. Numerous immunoinformatic methods have been utilized previously, here for the first time a deep learning framework based on Deconvolutional Neural Networks (DCNN) and Bidirectional Long Short-Term Memory (DCNN-BiLSTM) was used to predict Mtb Multiepitope vaccine (MtbMEV) subunits against six Mtb H37Rv proteins. The trained model was used to design MEV within a few minutes against TB better than other machine learning models with 99.5% accuracy. The MEV has good antigenicity, and physiochemical properties, and is thermostable, soluble, and hydrophilic. The vaccine's BLAST search ruled out the possibility of autoimmune reactions. The secondary structure analysis revealed 87% coil, 10% beta, and 2% alpha helix, while the tertiary structure was highly upgraded after refinement. Molecular docking with TLR3 and TLR4 receptors showed good binding, indicating high immune reactions. Immune response simulation confirmed the generation of innate and adaptive responses. In-silico cloning revealed the vaccine is highly expressed in E. coli. The results can be further experimentally verified using various analyses to establish a candidate vaccine for future clinical trials.
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Affiliation(s)
- Auwalu Saleh Mubarak
- Operational Research Centre in Healthcare, Near East University, TRNC Mersin 10, Nicosia, 99138, Turkey
- Department of Electrical Engineering, Aliko Dangote University of Science and Technology, Wudil, Kano, Nigeria
| | - Zubaida Said Ameen
- Operational Research Centre in Healthcare, Near East University, TRNC Mersin 10, Nicosia, 99138, Turkey
- Department of Biochemistry, Yusuf Maitama Sule University, Kano, Nigeria
| | - Abdurrahman Shuaibu Hassan
- Department of Electrical Electronics and Automation Systems Engineering, Kampala International University, Kampala, Uganda.
| | - Dilber Uzun Ozsahin
- Operational Research Centre in Healthcare, Near East University, TRNC Mersin 10, Nicosia, 99138, Turkey.
- Department of Medical Diagnostic Imaging, College of Health Science, University of Sharjah, Sharjah, UAE.
- Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, UAE.
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Yaghoobizadeh F, Roayaei Ardakani M, Ranjbar MM, Khosravi M, Galehdari H. Development of a potent recombinant scFv antibody against the SARS-CoV-2 by in-depth bioinformatics study: Paving the way for vaccine/diagnostics development. Comput Biol Med 2024; 170:108091. [PMID: 38295473 DOI: 10.1016/j.compbiomed.2024.108091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND The SARS-CoV-2 has led to a worldwide disaster. Thus, developing prophylactics/therapeutics is required to overcome this public health issue. Among these, producing the anti-SARS-CoV-2 single-chain variable fragment (scFv) antibodies has attracted a significant attention. Accordingly, this study aims to address this question: Is it possible to bioinformatics-based design of a potent anti-SARS-CoV-2 scFv as an alternative to current production approaches? METHOD Using the complexed SARS-CoV-2 spike-antibodies, two sets analyses were performed: (1) B-cell epitopes (BCEs) prediction in the spike receptor-binding domain (RBD) region as a parameter for antibody screening; (2) the computational analysis of antibodies variable domains (VH/VL). Based on these primary screenings, and docking/binding affinity rating, one antibody was selected. The protein-protein interactions (PPIs) among the selected antibody-epitope complex were predicted and its epitope conservancy was also evaluated. Thereafter, some elements were added to the final scFv: (1) the PelB signal peptide; (2) a GSGGGGS linker to connect the VH-VL. Finally, this scFv was analyzed/optimized using various web servers. RESULTS Among the antibody library, only one met the various criteria for being an efficient scFv candidate. Moreover, no interaction was predicted between its paratope and RBD hot-spot residues of SARS-CoV-2 variants-of-Concern (VOCs). CONCLUSIONS Herein, a step-by-step bioinformatics platform has been introduced to bypass some barriers of traditional antibody production approaches. Based on existing literature, the current study is one of the pioneer works in the field of bioinformatics-based scFv production. This scFv may be a good candidate for diagnostics/therapeutics design against the SARS-CoV-2 as an emerging aggressive pathogen.
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Affiliation(s)
- Fatemeh Yaghoobizadeh
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
| | - Mohammad Roayaei Ardakani
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
| | | | - Mohammad Khosravi
- Department of Pathobiology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
| | - Hamid Galehdari
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
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Mohapatra S, Kumar S, Kumar S, Singh AK, Nayak B. Immunodominant conserved moieties on spike protein of SARS-CoV-2 renders virulence factor for the design of epitope-based peptide vaccines. Virusdisease 2023; 34:456-482. [PMID: 38046066 PMCID: PMC10686954 DOI: 10.1007/s13337-023-00852-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 11/03/2023] [Indexed: 12/05/2023] Open
Abstract
The outbreak of novel SARS-CoV-2 virion has wreaked havoc with a high prevalence of respiratory illness and high transmission due to a vague understanding of the viral antigenicity, augmenting the dire challenge to public health globally. This viral member necessitates the expansion of diagnostic and therapeutic tools to track its transmission and confront it through vaccine development. Therefore, prophylactic strategies are mandatory. Virulent spike proteins can be the most desirable candidate for the computational design of vaccines targeting SARS-CoV-2, followed by the meteoric development of immune epitopes. Spike protein was characterized using existing bioinformatics tools with a unique roadmap related to the immunological profile of SARS-CoV-2 to predict immunogenic virulence epitopes based on antigenicity, allergenicity, toxicity, immunogenicity, and population coverage. Applying in silico approaches, a set of twenty-four B lymphocyte-based epitopes and forty-six T lymphocyte-based epitopes were selected. The predicted epitopes were evaluated for their intrinsic properties. The physico-chemical characterization of epitopes qualifies them for further in vitro and in vivo analysis and pre-requisite vaccine development. This study presents a set of screened epitopes that bind to HLA-specific allelic proteins and can be employed for designing a peptide vaccine construct against SARS-CoV-2 that will confer vaccine-induced protective immunity due to its structural stability. Supplementary Information The online version contains supplementary material available at 10.1007/s13337-023-00852-9.
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Affiliation(s)
- Subhashree Mohapatra
- Immunology and Molecular Medicine Laboratory, Department of Life Science, National Institute of Technology Rourkela, Rourkela, Odisha 769008 India
| | - Santosh Kumar
- RNA Biology Laboratory, Department of Life Science, National Institute of Technology Rourkela, Rourkela, Odisha 769008 India
| | - Shashank Kumar
- Molecular Signalling and Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda, Punjab 151401 India
| | - Atul Kumar Singh
- Molecular Signalling and Drug Discovery Laboratory, Department of Biochemistry, Central University of Punjab, Bathinda, Punjab 151401 India
| | - Bismita Nayak
- Immunology and Molecular Medicine Laboratory, Department of Life Science, National Institute of Technology Rourkela, Rourkela, Odisha 769008 India
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Zebardast A, Latifi T, shirzad M, Goodarzi G, Ebrahimi Fana S, Samavarchi Tehrani S, Yahyapour Y. Critical involvement of circular RNAs in virus-associated cancers. Genes Dis 2023; 10:2296-2305. [PMID: 37554189 PMCID: PMC10404876 DOI: 10.1016/j.gendis.2022.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 03/25/2022] [Accepted: 04/06/2022] [Indexed: 12/09/2022] Open
Abstract
Virus-related cancer is cancer where viral infection leads to the malignant transformation of the host's infected cells. Seven viruses (e.g., human papillomavirus (HPV), Epstein-Barr virus (EBV), Kaposi's sarcoma herpesvirus (KSHV), Hepatitis B virus (HBV), Hepatitis C virus (HCV), Human T-lymphotropic virus (HTLV), and Merkel cell polyomavirus (MCV)) that infect humans have been identified as an oncogene and have been associated with several human malignancies. Recently, growing attention has been attracted to exploring the pathogenesis of virus-related cancers. One of the most mysterious molecules involved in carcinogenesis and progression of virus-related cancers is circular RNAs (circRNA). These emerging non-coding RNAs (ncRNAs), due to the absence of 5' and 3' ends, have high stability than linear RNAs and are found in some species across the eukaryotic organisms. Compelling evidence has revealed that viruses also encode a repertoire of circRNAs, as well as dysregulation of these viral circRNAs play a critical role in the pathogenesis and progression of different types of virus-related cancers. Therefore, understanding the exact role and function of the virally encoded circRNAs with virus-associated cancers will open a new road for increasing our knowledge about the RNA world. Hence, in this review, we will focus on emerging roles of virus-encoded circRNAs in multiple cancers, including cervical cancer, gastric cancer, Merkel cell carcinoma, nasopharyngeal carcinoma, Kaposi cancer, and liver cancer.
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Affiliation(s)
- Arghavan Zebardast
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran 1417613151, Iran
| | - Tayebeh Latifi
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran 1417613151, Iran
| | - Moein shirzad
- Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol 47176, Iran
| | - Golnaz Goodarzi
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran 1417613151, Iran
- Student Scientific Research Center, Tehran University of Medical Sciences, Tehran 1417613151, Iran
| | - Saeed Ebrahimi Fana
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran 1417613151, Iran
- Student Scientific Research Center, Tehran University of Medical Sciences, Tehran 1417613151, Iran
| | - Sadra Samavarchi Tehrani
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran 1417613151, Iran
- Student Scientific Research Center, Tehran University of Medical Sciences, Tehran 1417613151, Iran
| | - Yousef Yahyapour
- Infectious Diseases and Tropical Medicine Research Center, Health Research Institute, Babol University of Medical Sciences, Babol 47176, Iran
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Islam MA, Marzan AA, Arman MS, Shahi S, Sakif TI, Hossain M, Islam T, Hoque MN. Some common deleterious mutations are shared in SARS-CoV-2 genomes from deceased COVID-19 patients across continents. Sci Rep 2023; 13:18644. [PMID: 37903828 PMCID: PMC10616235 DOI: 10.1038/s41598-023-45517-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/20/2023] [Indexed: 11/01/2023] Open
Abstract
The identification of deleterious mutations in different variants of SARS-CoV-2 and their roles in the morbidity of COVID-19 patients has yet to be thoroughly investigated. To unravel the spectrum of mutations and their effects within SARS-CoV-2 genomes, we analyzed 5,724 complete genomes from deceased COVID-19 patients sourced from the GISAID database. This analysis was conducted using the Nextstrain platform, applying a generalized time-reversible model for evolutionary phylogeny. These genomes were compared to the reference strain (hCoV-19/Wuhan/WIV04/2019) using MAFFT v7.470. Our findings revealed that SARS-CoV-2 genomes from deceased individuals belonged to 21 Nextstrain clades, with clade 20I (Alpha variant) being the most predominant, followed by clade 20H (Beta variant) and clade 20J (Gamma variant). The majority of SARS-CoV-2 genomes from deceased patients (33.4%) were sequenced in North America, while the lowest percentage (0.98%) came from Africa. The 'G' clade was dominant in the SARS-CoV-2 genomes of Asian, African, and North American regions, while the 'GRY' clade prevailed in Europe. In our analysis, we identified 35,799 nucleotide (NT) mutations throughout the genome, with the highest frequency (11,402 occurrences) found in the spike protein. Notably, we observed 4150 point-specific amino acid (AA) mutations in SARS-CoV-2 genomes, with D614G (20%) and N501Y (14%) identified as the top two deleterious mutations in the spike protein on a global scale. Furthermore, we detected five common deleterious AA mutations, including G18V, W45S, I33T, P30L, and Q418H, which play a key role in defining each clade of SARS-CoV-2. Our novel findings hold potential value for genomic surveillance, enabling the monitoring of the evolving pattern of SARS-CoV-2 infection, its emerging variants, and their impact on the development of effective vaccination and control strategies.
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Affiliation(s)
- Md Aminul Islam
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, 2310, Bangladesh.
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
| | - Abdullah Al Marzan
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, 2310, Bangladesh
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Md Sakil Arman
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Shatila Shahi
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Tahsin Islam Sakif
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, 26506-6109, USA
| | - Maqsud Hossain
- University of Nottingham, Sutton Bonington Campus, LE12 5RD, Loughborough, NG7 2RD, Leicestershire, UK
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
| | - M Nazmul Hoque
- Molecular Biology and Bioinformatics Laboratory, Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
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11
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Campos-Ruíz MA, Illades-Aguiar B, Del Moral-Hernández O, Romo-Castillo M, Salazar-García M, Espinoza-Rojo M, Vences-Velázquez A, Cortés-Sarabia K, Luna-Pineda VM. Immunized mice naturally process in silico-derived peptides from the nucleocapsid of SARS-CoV-2. BMC Microbiol 2023; 23:319. [PMID: 37898784 PMCID: PMC10612231 DOI: 10.1186/s12866-023-03076-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND The nucleocapsid (N) protein of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is an excellent immunogen that promotes the production of high-titer antibodies. N protein-derived peptides identified using a bioinformatics approach can potentially be used to develop a new generation of vaccines or diagnostic methods for detecting SARS-CoV-2 and its variants. However, further studies must demonstrate their capacity to be naturally processed by the immune system. OBJECTIVE We aimed to examine the in vivo processing and recognition of in silico-identified peptides using the serum of immunized animals with the complete protein. METHODS Recombinant N (Nrec) protein was subcutaneously administered to six Balb/c mice. Enzyme-linked immunosorbent assay (ELISA), western blotting, dot blotting, and immunoprecipitation were performed to evaluate the recognition of the complete protein and in silico-derived peptides. RESULTS The serum of immunized mice recognized ~ 62.5 ng/µL of Nrec with high specificity to linear and conformational epitopes. Dot blot analysis showed that peptides Npep2 and Npep3 were the most reactive. CONCLUSION Our data confirm the high immunogenicity of the SARS-CoV-2 N protein and provide evidence on the antigenicity of two peptides located in the N-arm/RNA-binding domain (Npep2) and oligomerization domain/C-tail (Npep3), considered the biologically active site of the N protein.
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Affiliation(s)
- Mario Aldair Campos-Ruíz
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Berenice Illades-Aguiar
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Oscar Del Moral-Hernández
- Laboratorio de Virología, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Mariana Romo-Castillo
- Laboratorio de Investigación en COVID-19, Laboratorio de Investigación en Inmunología y Proteómica, Hospital Infantil de México Federico Gómez, Ciudad de México, México
- Programa Investigadoras e Investigadores por México, Consejo Nacional de Humanidades, Ciencias y Tecnologías, Ciudad de México, México
| | - Marcela Salazar-García
- Laboratorio de Biología del Desarrollo y Teratogénesis Experimental, Hospital Infantil de México Federico Gómez, Ciudad de México, México
| | - Mónica Espinoza-Rojo
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Amalia Vences-Velázquez
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México
| | - Karen Cortés-Sarabia
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Guerrero, México.
| | - Victor M Luna-Pineda
- Laboratorio de Investigación en COVID-19, Laboratorio de Investigación en Inmunología y Proteómica, Hospital Infantil de México Federico Gómez, Ciudad de México, México.
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12
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Basak S, Kayet P, Ghosh M, Chatterjee J, Dutta S. Emergence of Genomic Diversity in the Spike Protein of the "Omicron" Variant. Viruses 2023; 15:2132. [PMID: 37896909 PMCID: PMC10612054 DOI: 10.3390/v15102132] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus) has constantly been evolving into different forms throughout its spread in the population. Emerging SARS-CoV-2 variants, predominantly the variants of concern (VOCs), could have an impact on the virus spread, pathogenicity, and diagnosis. The recently emerged "Omicron" variant has exhibited rapid transmission and divergence. The spike protein of SARS-CoV-2 has consistently been appearing as the mutational hotspot of all these VOCs. In order to determine a deeper understanding of the recently emerged and extremely divergent "Omicron", a study of amino acid usage patterns and their substitution patterns was performed and compared with those of the other four successful variants of concern ("Alpha", "Beta", "Gamma", and "Delta"). We observed that the amino acid usage of "Omicron" has a distinct pattern that distinguishes it from other VOCs and is significantly correlated with the increased hydrophobicity in spike proteins. We observed an increase in the non-synonymous substitution rate compared with the other four VOCs. Considering the phylogenetic relationship, we hypothesized about the functional interdependence between recombination and the mutation rate that might have resulted in a shift in the optimum of the mutation rate for the evolution of the "Omicron" variant. The results suggest that for improved disease prevention and control, more attention should be given to the significant genetic differentiation and diversity of newly emerging variants.
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Affiliation(s)
- Surajit Basak
- Division of Bioinformatics, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata 700010, India
| | - Pratanu Kayet
- Division of Bioinformatics, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata 700010, India
| | - Manisha Ghosh
- Division of Bioinformatics, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata 700010, India
| | - Joyeeta Chatterjee
- Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry 605014, India
| | - Shanta Dutta
- Division of Bacteriology, ICMR-National Institute of Cholera and Enteric Diseases, Kolkata 700010, India
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13
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Gupta Y, Baranwal M, Chudasama B. Immunoinformatics-Based Identification of the Conserved Immunogenic Peptides Targeting of Zika Virus Precursor Membrane Protein. Viral Immunol 2023; 36:503-519. [PMID: 37486711 DOI: 10.1089/vim.2023.0015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023] Open
Abstract
Zika virus infections lead to neurological complications such as congenital Zika syndrome and Guillain-Barré syndrome. Rising Zika infections in newborns and adults have triggered the need for vaccine development. In the current study, the precursor membrane (prM) protein of the Zika virus is explored for its functional importance and design of epitopes enriched conserved peptides with the usage of different immunoinformatics approach. Phylogenetic and mutational analyses inferred that the prM protein is highly conserved. Three conserved peptides containing multiple T and B cell epitopes were designed by employing different epitope prediction algorithms. IEDB population coverage analysis of selected peptides in six different continents has shown the population coverage of 60-99.8% (class I HLA) and 80-100% (class II HLA). Molecular docking of selected peptides/epitopes was carried out with each of class I and II HLA alleles using HADDOCK. A majority of peptide-HLA complex (pHLA) have HADDOCK scores found to be comparable and more than native-HLA complex representing the good binding interaction of peptides to HLA. Molecular dynamics simulation with best docked pHLA complexes revealed that pHLA complexes are stable with RMSD <5.5Å. Current work highlights the importance of prM as a strong antigenic protein and selected peptides have the potential to elicit humoral and cell-mediated immune responses.
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Affiliation(s)
- Yogita Gupta
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Bhupendra Chudasama
- School of Physics & Materials Science, Thapar Institute of Engineering and Technology, Patiala, India
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14
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Tai C, Li H, Zhang J. BCEDB: a linear B-cell epitopes database for SARS-CoV-2. Database (Oxford) 2023; 2023:baad065. [PMID: 37776561 PMCID: PMC10541793 DOI: 10.1093/database/baad065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/17/2023] [Accepted: 09/13/2023] [Indexed: 10/02/2023]
Abstract
The 2019 Novel Coronavirus (SARS-CoV-2) has infected millions of people worldwide and caused millions of deaths. The virus has gone numerous mutations to replicate faster, which can overwhelm the immune system of the host. Linear B-cell epitopes are becoming promising in prevention of various deadly infectious diseases, breaking the general idea of their low immunogenicity and partial protection. However, there is still no public repository to host the linear B-cell epitopes for facilitating the development vaccines against SARS-CoV-2. Therefore, we developed BCEDB, a linear B-cell epitopes database specifically designed for hosting, exploring and visualizing linear B-cell epitopes and their features. The database provides a comprehensive repository of computationally predicted linear B-cell epitopes from Spike protein; a systematic annotation of epitopes including sequence, antigenicity score, genomic locations of epitopes, mutations in different virus lineages, mutation sites on the 3D structure of Spike protein and a genome browser to visualize them in an interactive manner. It represents a valuable resource for peptide-based vaccine development. Database URL: http://www.oncoimmunobank.cn/bcedbindex.
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Affiliation(s)
- Chengzheng Tai
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Hongjun Li
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, No. 8 Youan Gate Outer Xitou Alley, Beijing 100069, China
| | - Jing Zhang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China
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15
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Bhowmik D, Bhuyan A, Gunalan S, Kothandan G, Kumar D. In silico and immunoinformatics based multiepitope subunit vaccine design for protection against visceral leishmaniasis. J Biomol Struct Dyn 2023:1-22. [PMID: 37655736 DOI: 10.1080/07391102.2023.2252901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023]
Abstract
Visceral leishmaniasis (VL) is a vector-borne neglected tropical protozoan disease with high fatality and no certified vaccine. Conventional vaccine preparation is challenging and tedious. Here in this work, we created a global multiepitope subunit vaccination against VL utilizing innovative immunoinformatics technique based on the extensively conserved epitopic regions of the PrimPol protein of Leishmania donovani consisting of four subunits which were analyzed and studied, out of which DNA primase large subunit and DNA polymerase α subunit B were evaluated as antigens by Vaxijen 2.0. The multiepitope vaccine design includes a single adjuvant β-defensins, eight CTL epitopes, eight HTL epitopes, seven linear BCL epitopes and one discontinuous BCL epitope to induce innate, cellular and humoral immune responses against VL. The Expasy ProtParam tool characterized the physiochemical parameters of the vaccine. At the same time, SOLpro evaluated our vaccine constructs to be soluble upon expression. We also modeled the stable tertiary structure of our vaccine construct through Robetta modeling for molecular docking studies with toll-like receptor proteins through HADDOCK 2.4. Simulations based on molecular dynamics revealed an intact vaccine and TLR8 complex, supporting our vaccine design's immunogenicity. Also, the immune simulation of our vaccine by the C-ImmSim server demonstrated the potency of the multiepitope vaccine construct to induce proper immune response for host defense. Codon optimization and in silico cloning of our vaccine further assured high expression. The outcomes of our study on multiepitope vaccine design significantly produced a potential candidate against VL and can potentially eradicate the disease in the future after clinical investigations.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Deep Bhowmik
- Deparment of Microbiology, Assam University, Silchar, Assam, India
| | - Achyut Bhuyan
- Deparment of Microbiology, Assam University, Silchar, Assam, India
| | - Seshan Gunalan
- Biopolymer Modelling Laboratory, Centre of Advanced Study in Crystallography and Biophysics, Guindy Campus, University of Madras, Chennai, India
| | - Gugan Kothandan
- Biopolymer Modelling Laboratory, Centre of Advanced Study in Crystallography and Biophysics, Guindy Campus, University of Madras, Chennai, India
| | - Diwakar Kumar
- Deparment of Microbiology, Assam University, Silchar, Assam, India
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16
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Khan MT, Mahmud A, Islam MM, Sumaia MSN, Rahim Z, Islam K, Iqbal A. Multi-epitope vaccine against drug-resistant strains of Mycobacterium tuberculosis: a proteome-wide subtraction and immunoinformatics approach. Genomics Inform 2023; 21:e42. [PMID: 37813638 PMCID: PMC10584640 DOI: 10.5808/gi.23021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 10/11/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis, one of the most deadly infections in humans. The emergence of multidrug-resistant and extensively drug-resistant Mtb strains presents a global challenge. Mtb has shown resistance to many frontline antibiotics, including rifampicin, kanamycin, isoniazid, and capreomycin. The only licensed vaccine, Bacille Calmette-Guerin, does not efficiently protect against adult pulmonary tuberculosis. Therefore, it is urgently necessary to develop new vaccines to prevent infections caused by these strains. We used a subtractive proteomics approach on 23 virulent Mtb strains and identified a conserved membrane protein (MmpL4, NP_214964.1) as both a potential drug target and vaccine candidate. MmpL4 is a non-homologous essential protein in the host and is involved in the pathogen-specific pathway. Furthermore, MmpL4 shows no homology with anti-targets and has limited homology to human gut microflora, potentially reducing the likelihood of adverse effects and cross-reactivity if therapeutics specific to this protein are developed. Subsequently, we constructed a highly soluble, safe, antigenic, and stable multi-subunit vaccine from the MmpL4 protein using immunoinformatics. Molecular dynamics simulations revealed the stability of the vaccine-bound Toll-like receptor-4 complex on a nanosecond scale, and immune simulations indicated strong primary and secondary immune responses in the host. Therefore, our study identifies a new target that could expedite the design of effective therapeutics, and the designed vaccine should be validated. Future directions include an extensive molecular interaction analysis, in silico cloning, wet-lab experiments, and evaluation and comparison of the designed candidate as both a DNA vaccine and protein vaccine.
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Affiliation(s)
- Md Tahsin Khan
- Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Araf Mahmud
- Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Md. Muzahidul Islam
- Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Mst. Sayedatun Nessa Sumaia
- Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Zeaur Rahim
- Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Mohakhali, Dhaka, Bangladesh
| | - Kamrul Islam
- Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
| | - Asif Iqbal
- Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Korea
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17
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Matos AS, Invenção MDCV, Moura IAD, Freitas ACD, Batista MVDA. Immunoinformatics applications in the development of therapeutic vaccines against human papillomavirus-related infections and cervical cancer. Rev Med Virol 2023; 33:e2463. [PMID: 37291746 DOI: 10.1002/rmv.2463] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/09/2023] [Accepted: 05/27/2023] [Indexed: 06/10/2023]
Abstract
The human papillomavirus (HPV) represents the most prevalent sexually transmitted infectious agent worldwide. HPV penetrates the epithelium through microlesions and establishes an infectious focus that can lead to the development of cervical cancer. Prophylactic HPV vaccines are available, but do not affect already-established infections. Using in silico prediction tools is a promising strategy for identifying and selecting vaccine candidate T cell epitopes. An advantage of this strategy is that epitopes can be selected according to the degree of conservation within a group of antigenic proteins. This makes achieving comprehensive genotypic coverage possible with a small set of epitopes. Therefore, this paper revises the general characteristics of HPV biology and the current knowledge on developing therapeutic peptide vaccines against HPV-related infections and cervical cancer.
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Affiliation(s)
- Alexandre Santos Matos
- Laboratory of Molecular Genetics and Biotechnology (GMBio), Department of Biology, Center for Biological and Health Sciences, Federal University of Sergipe, Sao Cristovao, Brazil
| | - Maria da Conceição Viana Invenção
- Laboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Federal University of Pernambuco, Recife, Brazil
| | - Ingrid Andrêssa de Moura
- Laboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Federal University of Pernambuco, Recife, Brazil
| | - Antonio Carlos de Freitas
- Laboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Federal University of Pernambuco, Recife, Brazil
| | - Marcus Vinicius de Aragão Batista
- Laboratory of Molecular Genetics and Biotechnology (GMBio), Department of Biology, Center for Biological and Health Sciences, Federal University of Sergipe, Sao Cristovao, Brazil
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18
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Li L, Zhao Z, Yang X, Su Z, Li W, Chen S, Wang L, Sun T, Du C, Li Z, Yang Z, Li M, Wang T, Wang Y, Fan Y, Wang H, Zhang J. A Newly Identified Spike Protein Targeted Linear B-Cell Epitope Based Dissolvable Microneedle Array Successfully Eliciting Neutralizing Activities against SARS-CoV-2 Wild-Type Strain in Mice. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2207474. [PMID: 37162232 PMCID: PMC10369230 DOI: 10.1002/advs.202207474] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/27/2023] [Indexed: 05/11/2023]
Abstract
Vaccination is a cost-effective medical intervention. Inactivated whole virusor large protein fragments-based severe acute respiratory syndrome coronavirus (SARS-CoV-2) vaccines have high unnecessary antigenic load to induce allergenicity and/orreactogenicity, which can be avoided by peptide vaccines of short peptide fragments that may induce highly targeted immune response. However, epitope identification and peptide delivery remain the major obstacles in developing peptide vaccines. Here, a multi-source data integrated linear B-cell epitope screening strategy is presented and a linear B-cell epitope enriched hotspot region is identified in Spike protein, from which a monomeric peptide vaccine (Epitope25) is developed and applied to subcutaneously immunize wildtype BALB/c mice. Indirect ELISA assay reveals specific and dose-dependent binding between Epitope25 and serum IgG antibodies from immunized mice. The neutralizing activity of sera from vaccinated mice is validated by pseudo and live SARS-CoV-2 wild-type strain neutralization assays. Then a dissolvable microneedle array (DMNA) is developed to pain-freely deliver Epitope25. Compared with intramuscular injection, DMNA and subcutaneous injection elicit neutralizing activities against SARS-CoV-2 wild-type strain as demonstrated by live SARS-CoV-2 virus neutralization assay. No obvious damages are found in major organs of immunized mice. This study may lay the foundation for developing linear B-cell epitope-based vaccines against SARS-CoV-2.
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Affiliation(s)
- Lin Li
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Zhongpeng Zhao
- State Key Laboratory of Pathogen and BiosecurityBeijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijing100071P. R. China
| | - Xiaolan Yang
- State Key Laboratory of Pathogen and BiosecurityBeijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijing100071P. R. China
| | - Zhongyi Su
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Wendong Li
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Shaolong Chen
- State Key Laboratory of Pathogen and BiosecurityBeijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijing100071P. R. China
| | - Lu Wang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Ting Sun
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Chen Du
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Ziyi Li
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Zeqian Yang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Min Li
- State Key Laboratory of Pathogen and BiosecurityBeijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijing100071P. R. China
| | - Tiecheng Wang
- Institute of Military VeterinaryAcademy of Military Medical Sciences666 West Liuying RoadChangchunJilin130122P. R. China
| | - Ying Wang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Yubo Fan
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
| | - Hui Wang
- State Key Laboratory of Pathogen and BiosecurityBeijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijing100071P. R. China
| | - Jing Zhang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationBeijing Advanced Innovation Centre for Biomedical EngineeringSchool of Engineering Medicine and School of Biological Science and Medical EngineeringBeihang UniversityBeijing100083P. R. China
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19
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Islam MN, Pramanik MEA, Hossain MA, Rahman MH, Hossen MS, Islam MA, Miah MMZ, Ahmed I, Hossain AZMM, Haque MJ, Islam AKMM, Ali MN, Jahan RA, Haque ME, Rahman MM, Hasan MS, Rahman MM, Kabir MM, Basak PM, Sarkar MAM, Islam MS, Rahman MR, Prodhan AKMAUD, Mosaddik A, Haque H, Fahmin F, Das HS, Islam MM, Emtia C, Gofur MR, Liang A, Akbar SMF. Identification of Leading Compounds from Euphorbia neriifolia (Dudsor) Extracts as a Potential Inhibitor of SARS-CoV-2 ACE2-RBDS1 Receptor Complex: An Insight from Molecular Docking ADMET Profiling and MD-simulation Studies. Euroasian J Hepatogastroenterol 2023; 13:89-107. [PMID: 38222948 PMCID: PMC10785135 DOI: 10.5005/jp-journals-10018-1414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 11/23/2023] [Indexed: 01/16/2024] Open
Abstract
Coronavirus disease-19 (COVID-19) are deadly and infectious disease that impacts individuals in a variety of ways. Scientists have stepped up their attempts to find an antiviral drug that targets the spike protein (S) of Angiotensin converting enzyme 2 (ACE2) (receptor protein) as a viable therapeutic target for coronavirus. The most recent study examines the potential antagonistic effects of 17 phytochemicals present in the plant extraction of Euphorbia neriifolia on the anti-SARS-CoV-2 ACE2 protein. Computational techniques like molecular docking, absorption, distribution, metabolism, excretion, and toxicity (ADMET) investigations, and molecular dynamics (MD) simulation analysis were used to investigate the actions of these phytochemicals. The results of molecular docking studies showed that the control ligand (2-acetamido-2-deoxy-β-D-glucopyranose) had a binding potential of -6.2 kcal/mol, but the binding potentials of delphin, β-amyrin, and tulipanin are greater at -10.4, 10.0, and -9.6 kcal/mol. To verify their drug-likeness, the discovered hits were put via Lipinski filters and ADMET analysis. According to MD simulations of the complex run for 100 numbers, delphin binds to the SARS-CoV-2 ACE2 receptor's active region with good stability. In root-mean-square deviation (RMSD) and root mean square fluctuation (RMSF) calculations, delphinan, β-amyrin, and tulipanin showed reduced variance with the receptor binding domain subunit 1(RBD S1) ACE2 protein complex. The solvent accessible surface area (SASA), radius of gyration (Rg), molecular surface area (MolSA), and polar surface area (PSA) validation results for these three compounds were likewise encouraging. The convenient binding energies across the 100 numbers binding period were discovered by using molecular mechanics of generalized born and surface (MM/GBSA) to estimate the ligand-binding free energies to the protein receptor. All things considered, the information points to a greater likelihood of chemicals found in Euphorbia neriifolia binding to the SARS-CoV-2 ACE2 active site. To determine these lead compounds' anti-SARS-CoV-2 potential, in vitro and in vivo studies should be conducted. How to cite this article Islam MN, Pramanik MEA, Hossain MA, et al. Identification of Leading Compounds from Euphorbia Neriifolia (Dudsor) Extracts as a Potential Inhibitor of SARS-CoV-2 ACE2-RBDS1 Receptor Complex: An Insight from Molecular Docking ADMET Profiling and MD-simulation Studies. Euroasian J Hepato-Gastroenterol 2023;13(2):89-107.
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Affiliation(s)
- Md Nur Islam
- National Laboratory of Biomacromolecules, Chinese Academy of Sciences Center for Excellence in Biomacromolecules, Institute of Biophysics; University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Md Enayet Ali Pramanik
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, People's Republic of China; On-Farm Research Division, Bangladesh Agricultural Research Institute, Rajshahi, Bangladesh
| | - Md Arju Hossain
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail, Bangladesh
| | - Md Hasanur Rahman
- Department of Biotechnology and Genetic Engineering, Faculty of Life Sciences, Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), Gopalganj, Bangladesh
| | - Md Sahadot Hossen
- Department of Biochemistry and Molecular Biology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Md Ashraful Islam
- Department of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | | | - Istiak Ahmed
- Department of Surgery, Rajshahi Medical College Hospital, Rajshahi, Bangladesh
| | | | - Md Jawadul Haque
- Department of Community Medicine, Rajshahi Medical College, Rajshahi, Bangladesh
| | - AKM Monoarul Islam
- Department of Nephrology, Rajshahi Medical College, Rajshahi, Bangladesh
| | - Md Nowshad Ali
- Department of Pediatric Surgery, Rajshahi Medical College, Rajshahi, Bangladesh
| | | | - Md Enamul Haque
- Department of Ortho-Surgery, Rajshahi Medical College, Rajshahi, Bangladesh
| | - Md Munzur Rahman
- Department of Ortho-Surgery, Rajshahi Medical College, Rajshahi, Bangladesh
| | - Md Sharif Hasan
- Department of Cardiology, Mymensingh Medical College Hospital, Mymensingh, Bangladesh
| | | | - Md Mamun Kabir
- Department of Medicine, Rajshahi Medical College, Rajshahi, Bangladesh
| | | | | | - Md Shafiqul Islam
- Department of Gastroenterology, Rajshahi Medical College, Rajshahi, Bangladesh
| | - Md Rashedur Rahman
- Department of Agronomy, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | | | - Ashik Mosaddik
- Director, Center for Interdisciplinary Research, Varendra University, Rajshahi, Bangladesh
| | - Humayra Haque
- Department of Anaesthesia, Analgesia & Intensive Care Unit, Chattogram Medical College, Chattogram, Bangladesh
| | - Fahmida Fahmin
- Department of Paediatric, Mymensingh Medical College Hospital, Mymensingh, Bangladesh
| | | | - Md Manzurul Islam
- Director, Prime Minister Office and Private Secretary of Economic Advisor to the Hon'ble Prime Minister of Bangladesh, Prime Minister's Office, Tejgaon, Dhaka, Bangladesh
| | - Chandrima Emtia
- Laboratory of Systems Ecology, Faculty of Agriculture, Saga University, Honjo, Saga, Japan
| | - Md Royhan Gofur
- Department of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi, Bangladesh
| | - Aiping Liang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, College of Life Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, People's Republic of China; On-Farm Research Division, Bangladesh Agricultural Research Institute, Rajshahi, Bangladesh
| | - Sheikh Mohammad Fazle Akbar
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine; Research Center for Global and Local Infectious Diseases, Faculty of Medicine, Oita University, Oita; Miyakawa Memorial Research Foundation, Tokyo, Japan
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20
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Gupta A, Singh AP, Singh VK, Sinha RP. Recent Developments and Future Perspectives of Vaccines and Therapeutic Agents against SARS-CoV2 Using the BCOV_S1_CTD of the S Protein. Viruses 2023; 15:1234. [PMID: 37376534 DOI: 10.3390/v15061234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 05/20/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, the virus kept developing and mutating into different variants over time, which also gained increased transmissibility and spread in populations at a higher pace, culminating in successive waves of COVID-19 cases. The scientific community has developed vaccines and antiviral agents against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease. Realizing that growing SARS-CoV-2 variations significantly impact the efficacy of antiviral therapies and vaccines, we summarize the appearance and attributes of SARS-CoV-2 variants for future perspectives in drug design, providing up-to-date insights for developing therapeutic agents targeting the variants. The Omicron variant is among the most mutated form; its strong transmissibility and immune resistance capacity have prompted international worry. Most mutation sites currently being studied are in the BCOV_S1_CTD of the S protein. Despite this, several hurdles remain, such as developing vaccination and pharmacological treatment efficacies for emerging mutants of SARS-CoV-2 strains. In this review, we present an updated viewpoint on the current issues faced by the emergence of various SARS-CoV-2 variants. Furthermore, we discuss the clinical studies conducted to assist the development and dissemination of vaccines, small molecule therapeutics, and therapeutic antibodies having broad-spectrum action against SARS-CoV-2 strains.
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Affiliation(s)
- Amit Gupta
- Laboratory of Photobiology and Molecular Microbiology, Centre of Advanced Study in Botany, Institute of Science, Banaras Hindu University, Varanasi 221005, India
| | - Ashish P Singh
- Laboratory of Photobiology and Molecular Microbiology, Centre of Advanced Study in Botany, Institute of Science, Banaras Hindu University, Varanasi 221005, India
| | - Vinay K Singh
- Centre for Bioinformatics, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi 221005, India
| | - Rajeshwar P Sinha
- Laboratory of Photobiology and Molecular Microbiology, Centre of Advanced Study in Botany, Institute of Science, Banaras Hindu University, Varanasi 221005, India
- University Center for Research & Development (UCRD), Chandigarh University, Chandigarh 140413, India
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21
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Rahman MS, Hoque MN, Chowdhury SR, Siddique MM, Islam OK, Galib SM, Islam MT, Hossain MA. Temporal dynamics and fatality of SARS-CoV-2 variants in Bangladesh. Health Sci Rep 2023; 6:e1209. [PMID: 37077184 PMCID: PMC10108430 DOI: 10.1002/hsr2.1209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 04/21/2023] Open
Abstract
Background and Aims Since the beginning of the SARS-CoV-2 pandemic, multiple new variants have emerged posing an increased risk to global public health. This study aimed to investigate SARS-CoV-2 variants, their temporal dynamics, infection rate (IFR) and case fatality rate (CFR) in Bangladesh by analyzing the published genomes. Methods We retrieved 6610 complete whole genome sequences of the SARS-CoV-2 from the GISAID (Global Initiative on Sharing all Influenza Data) platform from March 2020 to October 2022, and performed different in-silico bioinformatics analyses. The clade and Pango lineages were assigned by using Nextclade v2.8.1. SARS-CoV-2 infections and fatality data were collected from the Institute of Epidemiology Disease Control and Research (IEDCR), Bangladesh. The average IFR was calculated from the monthly COVID-19 cases and population size while average CFR was calculated from the number of monthly deaths and number of confirmed COVID-19 cases. Results SARS-CoV-2 first emerged in Bangladesh on March 3, 2020 and created three pandemic waves so far. The phylogenetic analysis revealed multiple introductions of SARS-CoV-2 variant(s) into Bangladesh with at least 22 Nextstrain clades and 107 Pangolin lineages with respect to the SARS-CoV-2 reference genome of Wuhan/Hu-1/2019. The Delta variant was detected as the most predominant (48.06%) variant followed by Omicron (27.88%), Beta (7.65%), Alpha (1.56%), Eta (0.33%) and Gamma (0.03%) variant. The overall IFR and CFR from circulating variants were 13.59% and 1.45%, respectively. A time-dependent monthly analysis showed significant variations in the IFR (p = 0.012, Kruskal-Wallis test) and CFR (p = 0.032, Kruskal-Wallis test) throughout the study period. We found the highest IFR (14.35%) in 2020 while Delta (20A) and Beta (20H) variants were circulating in Bangladesh. Remarkably, the highest CFR (1.91%) from SARS-CoV-2 variants was recorded in 2021. Conclusion Our findings highlight the importance of genomic surveillance for careful monitoring of variants of concern emergence to interpret correctly their relative IFR and CFR, and thus, for implementation of strengthened public health and social measures to control the spread of the virus. Furthermore, the results of the present study may provide important context for sequence-based inference in SARS-CoV-2 variant(s) evolution and clinical epidemiology beyond Bangladesh.
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Affiliation(s)
- M. Shaminur Rahman
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive HealthBangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipurBangladesh
| | - Susmita Roy Chowdhury
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - Md. Moradul Siddique
- Department of Computer Science and EngineeringJashore University of Science and TechnologyJashoreBangladesh
| | - Ovinu Kibria Islam
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - Syed Md. Galib
- Department of Computer Science and EngineeringJashore University of Science and TechnologyJashoreBangladesh
| | - Md. Tanvir Islam
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - M. Anwar Hossain
- Department of MicrobiologyUniversity of DhakaDhakaBangladesh
- Jashore University of Science and TechnologyJashoreBangladesh
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22
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Al Mamun Khan MA, Ahsan A, Khan MA, Sanjana JM, Biswas S, Saleh MA, Gupta DR, Hoque MN, Sakif TI, Rahman MM, Islam T. In-silico prediction of highly promising natural fungicides against the destructive blast fungus Magnaporthe oryzae. Heliyon 2023; 9:e15113. [PMID: 37123971 PMCID: PMC10130775 DOI: 10.1016/j.heliyon.2023.e15113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 05/02/2023] Open
Abstract
Magnaporthe oryzae causes destructive blast disease in more than 50 species of the major cereal crops rice, wheat and maize and destroys food of millions of people worldwide. Application of synthetic chemical fungicides are environmentally hazardous and unreliable in controlling M. oryzae. Conversely, naturally occurring biofungicides with multiple modes of actions are needed to be discovered for combatting the blast fungus. To find the effective biofungicides, we performed molecular docking study of some potential antifungal natural compounds targeting two proteins including a single-stranded DNA binding protein MoSub1 (4AGH), and an effector protein AVR-Pik (5E9G) of M. oryzae that regulates transcription in fungus and/or suppresses the host cell immunity. The thirty-nine natural compounds previously shown to inhibit M. oryzae growth and reproduction were put under molecular docking against these two proteins followed by simulation, free energy, and interaction analysis of protein-ligand complexes. The virtual screening revealed that two alkaloidal metabolites, camptothecin and GKK1032A2 showed excellent binding energy with any of these target proteins compared to reference commercial fungicides, azoxystrobin and strobilurin. Of the detected compounds, GKK1032A2 bound to both target proteins of M. oryzae. Both compounds showed excellent bioactivity scores as compared to the reference fungicides. Results of our computational biological study suggest that both camptothecin and GKK1032A2 are potential fungicides that could also be considered as lead compounds to design novel fungicides against the blast fungus. Furthermore, the GKK1032A2 acted as a multi-site mode of action fungicide against M. oryzae.
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Affiliation(s)
- Md Abdullah Al Mamun Khan
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh
| | - Asif Ahsan
- Department of Biotechnology, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Md Arif Khan
- Department of Biotechnology and Genetic Engineering, University of Development Alternative, Dhaka 1209, Bangladesh
- Bio-Bio-1 Bioinformatics Research Foundation, Dhaka, Bangladesh
| | - Jannatul Maowa Sanjana
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh
| | - Suvro Biswas
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh
| | - Md Abu Saleh
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh
| | - Dipali Rani Gupta
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
| | - M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, BSMRAU, Gazipur 1706, Bangladesh
| | - Tahsin Islam Sakif
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506-6109, USA
| | - Md Masuder Rahman
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
- Corresponding author. Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh.
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23
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Zabihi Rizi F, Ghorbani A, Zahtab P, Darbaghshahi NN, Ataee N, Pourhamzeh P, Hamzei B, Dolatabadi NF, Zamani A, Hooshmand M. TYK2 single-nucleotide variants associated with the severity of COVID-19 disease. Arch Virol 2023; 168:119. [PMID: 36959416 PMCID: PMC10035968 DOI: 10.1007/s00705-023-05729-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/31/2023] [Indexed: 03/25/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is a lethal disease caused by the coronavirus SARS-CoV-2, which can result in a broad clinical spectrum of respiratory symptoms. While many clinical risk factors such as concomitant chronic diseases play roles in the pathophysiology of COVID-19, genetic predisposition factors have not been widely studied. The aim of this study was, therefore, to evaluate the relationship between some singlenucleotide polymorphisms (SNPs) of the human genes TYK2 and ACE2 and the severity of SARS-CoV-2 infection. Genomic DNA was isolated from 200 SARS-CoV-2-infected individuals with severe (n = 100) or mild (n = 100) disease. Owing to the importance of ACE2 and TYK2 genes in regulating the immune response to SARS-CoV-2 infection, TYK2 gene SNPs, i.e. rs2304255, rs2304256, rs12720270, and rs12720354 and ACE2 rs382746 variants, were genotyped in the samples. To confirm the results, the expression of different TYK2 genotypes was investigated using real-time PCR. The presence of the nucleotide T at the locus rs2304255 was shown to be a risk factor linked to disease severity (OR [95% CI] = 3.2485 [2.1554-4.8961]). Similarly, the presence of A at the locus rs12720354 increased the risk of severity (OR [95% CI]) = 3.9721 [2.6075-6.0509]). In contrast, the presence of A at the loci rs2304256 and rs12720270 was observed to reduce the severity risk (OR [95% CI] = 0.2495 [0.1642-0.3793] and 0.1668 [0.1083-0.2569], respectively). Real-time PCR results also demonstrated that the expression level of TYK2 in samples with the TT genotype of rs2304255 and the AA genotype of rs12720354 and in samples with the GG genotype of rs12720207 was significantly lower than in those with other genotypes. The results of this study suggest that TYK2 SNPs might be utilized to identify individuals who are at risk for severe COVID-19, in order to better manage their health care. It is predicted that the presence of some alleles (T in rs2304255, A in rs12720354, and G in rs12720207) of TYK2 can affect COVID-19 severity by reducing TYK2 expression and thereby affecting the regulatory role of TYK2 in the immune response.
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Affiliation(s)
- Fateme Zabihi Rizi
- Department of Biology, East Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Atousa Ghorbani
- Department of Biology, East Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Parnia Zahtab
- Department of Biological Sciences and Technology, Faculty of Materials Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
| | - Niloufar Naderi Darbaghshahi
- Department of Genetics, Faculty of Biological Sciences and Technology, Shahid Ashrafi Esfahani University, Esfahan, Iran
| | - Nioosha Ataee
- Department of Genetics, Faculty of Biological Sciences and Technology, Shahid Ashrafi Esfahani University, Esfahan, Iran
| | | | - Behnaz Hamzei
- Gene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran
| | - Nasrin Fatahi Dolatabadi
- Gene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran.
- Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord, Iran.
| | - Atefeh Zamani
- Gene Raz Bu Ali, Genetic and Biotechnology Academy, Isfahan, Iran
| | - Masoud Hooshmand
- Department of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
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24
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Lim CP, Kok BH, Lim HT, Chuah C, Abdul Rahman B, Abdul Majeed AB, Wykes M, Leow CH, Leow CY. Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design. Pathog Glob Health 2023; 117:134-151. [PMID: 35550001 PMCID: PMC9970233 DOI: 10.1080/20477724.2022.2072456] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
The ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally devastated public health, the economies of many countries and quality of life universally. The recent emergence of immune-escaped variants and scenario of vaccinated individuals being infected has raised the global concerns about the effectiveness of the current available vaccines in transmission control and disease prevention. Given the high rate mutation of SARS-CoV-2, an efficacious vaccine targeting against multiple variants that contains virus-specific epitopes is desperately needed. An immunoinformatics approach is gaining traction in vaccine design and development due to the significant reduction in time and cost of immunogenicity studies and increasing reliability of the generated results. It can underpin the development of novel therapeutic methods and accelerate the design and production of peptide vaccines for infectious diseases. Structural proteins, particularly spike protein (S), along with other proteins have been studied intensively as promising coronavirus vaccine targets. Numbers of promising online immunological databases, tools and web servers have widely been employed for the design and development of next generation COVID-19 vaccines. This review highlights the role of immunoinformatics in identifying immunogenic peptides as potential vaccine targets, involving databases, and prediction and characterization of epitopes which can be harnessed for designing future coronavirus vaccines.
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Affiliation(s)
- Chin Peng Lim
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia.,Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Boon Hui Kok
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Hui Ting Lim
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Candy Chuah
- Faculty of Health Sciences, Universiti Teknologi MARA, Penang, Malaysia
| | | | | | - Michelle Wykes
- Molecular Immunology Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Chiuan Herng Leow
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor, Malaysia
| | - Chiuan Yee Leow
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor, Malaysia
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25
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Ibrahim JM, A S, Nair AS, Oommen OV, Sudhakaran PR. In silico screening and epitope mapping of leptospiral outer membrane protein-Lsa46. J Biomol Struct Dyn 2023; 41:26-44. [PMID: 34821205 DOI: 10.1080/07391102.2021.2003247] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Leptospirosis is one of the neglected diseases caused by the spirochete, Leptospira interrogans. Leptospiral surface adhesion (Lsa) proteins are surface exposed outer membrane proteins present in the pathogen. It acts as laminin and plasminogen binding proteins which enable them to infect host cells. The major target for the development of vaccine in the current era focuses on surface exposed outer membrane proteins, as they can induce strong and fast immune response in hosts. Therefore, the present study mapped the potential epitopes of the Leptospiral outer membrane proteins, mainly the surface adhesion proteins. Protein sequence analysis of Lsa proteins was done by in silico methods. The primary protein sequence analysis revealed Lsa46 as a suitable target which can be a potent Leptospiral vaccine candidate. Its structure was modelled by threading based method in I-TASSER server and validated by Ramachandran plot. The predicted epitope's interactions with human IgG, IgM(Fab) and T-cell receptor TCR(αβ) were performed by molecular docking studies using Biovia Discovery studio 2018. One of the predicted B-cell epitopes and the IgG showed desirable binding interactions, while four of the predicted B-cell epitopes and T-cell epitopes showed desirable binding interactions with IgM and TCR respectively. The molecular dynamic simulation studies carried out with the molecular docked complexes gave minimized energies indicating stable interactions. The structural analysis of the entire simulated complex showed a stable nature except for one of the Epitope-IgM complex. Further the binding free energy calculation of eight receptor-ligand complex predicted them energetically stable. The results of the study help in elucidating the structural and functional characterization of Lsa46 for epitope-based vaccine design.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Junaida M Ibrahim
- Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India
| | - Shanitha A
- Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India
| | - Achuthsankar S Nair
- Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India
| | - Oommen V Oommen
- Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India
| | - Perumana R Sudhakaran
- Department of Computational Biology & Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India
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26
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S A, K G, A AM. Intermodulation of gut-lung axis microbiome and the implications of biotics to combat COVID-19. J Biomol Struct Dyn 2022; 40:14262-14278. [PMID: 34699326 DOI: 10.1080/07391102.2021.1994875] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The novel coronavirus disease pandemic caused by the COVID-19 virus has infected millions of people around the world with a surge in transmission and mortality rates. Although it is a respiratory viral infection that affects airway epithelial cells, a diverse set of complications, including cytokine storm, gastrointestinal disorders, neurological distress, and hyperactive immune responses have been reported. However, growing evidence indicates that the bidirectional crosstalk of the gut-lung axis can decipher the complexity of the disease. Though not much research has been focused on the gut-lung axis microbiome, there is a translocation of COVID-19 infection from the lung to the gut through the lymphatic system resulting in disruption of gut permeability and its integrity. It is believed that detailed elucidation of the gut-lung axis crosstalk and the role of microbiota can unravel the most significant insights on the discovery of diagnosis using microbiome-based-therapeutics for COVID-19. This review calls attention to relate the influence of dysbiosis caused by COVID-19 and the involvement of the gut-lung axis. It presents first of its kind details that concentrate on the momentousness of biotics in disease progression and restoration. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Aishwarya S
- Department of Bioinformatics, Stella Maris College, Chennai, India.,Centre for Advanced Studies in Crystallography and Biophysics, University of Madras, Chennai, India
| | - Gunasekaran K
- Centre for Advanced Studies in Crystallography and Biophysics, University of Madras, Chennai, India
| | - Anita Margret A
- Department of Biotechnology and Bioinformatics, Bishop Heber College, Tiruchirappalli, Tamil Nadu, India
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27
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Govender N, Zulkifli NS, Badrul Hisham NF, Ab Ghani NS, Mohamed-Hussein ZA. Pea eggplant ( Solanum torvum Swartz) is a source of plant food polyphenols with SARS-CoV inhibiting potential. PeerJ 2022; 10:e14168. [PMID: 36518265 PMCID: PMC9744172 DOI: 10.7717/peerj.14168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/12/2022] [Indexed: 12/03/2022] Open
Abstract
Background Pea eggplant (Solanum torvum Swartz) commonly known as turkey berry or 'terung pipit' in Malay is a vegetable plant widely consumed by the local community in Malaysia. The shrub bears pea-like turkey berry fruits (TBFs), rich in phytochemicals of medicinal interest. The TBF phytochemicals hold a wide spectrum of pharmacological properties. In this study, the TBF phytochemicals' potential inhibitory properties were evaluated against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) of the Coronavirus disease 2019 (COVID-19). The TBF polyphenols were screened against SARS-CoV receptors via molecular docking and the best receptor-ligand complex was validated further by molecular dynamics (MD) simulation. Method The SARS-CoV receptor structure files (viral structural components) were retrieved from the Protein Data Bank (PDB) database: membrane protein (PDB ID: 3I6G), main protease (PDB ID: 5RE4), and spike glycoproteins (PDB ID: 6VXX and 6VYB). The receptor binding pocket regions were identified by Discovery Studio (BIOVIA) for targeted docking with TBF polyphenols (genistin, kaempferol, mellein, rhoifolin and scutellarein). The ligand and SARS-CoV family receptor structure files were pre-processed using the AutoDock tools. Molecular docking was performed with the Lamarckian genetic algorithm using AutoDock Vina 4.2 software. The best pose (ligand-receptor complex) from the molecular docking analysis was selected based on the minimum binding energy (MBE) and extent of structural interactions, as indicated by BIOVIA visualization tool. The selected complex was validated by a 100 ns MD simulation run using the GROMACS software. The dynamic behaviour and stability of the receptor-ligand complex were evaluated by the root mean square displacement (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), solvent accessible surface area (SASA), solvent accessible surface volume (SASV) and number of hydrogen bonds. Results At RMSD = 0, the TBF polyphenols showed fairly strong physical interactions with SARS-CoV receptors under all possible combinations. The MBE of TBF polyphenol-bound SARS CoV complexes ranged from -4.6 to -8.3 kcal/mol. Analysis of the structural interactions showed the presence of hydrogen bonds, electrostatic and hydrophobic interactions between the receptor residues (RR) and ligands atoms. Based on the MBE values, the 3I6G-rhoifolin (MBE = -8.3 kcal/mol) and 5RE4-genistin (MBE = -7.6 kcal/mol) complexes were ranked with the least value. However, the latter showed a greater extent of interactions between the RRs and the ligand atoms and thus was further validated by MD simulation. The MD simulation parameters of the 5RE4-genistin complex over a 100 ns run indicated good structural stability with minimal flexibility within genistin binding pocket region. The findings suggest that S. torvum polyphenols hold good therapeutics potential in COVID-19 management.
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Affiliation(s)
- Nisha Govender
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Norazura Syazlin Zulkifli
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- Infrastructure University Kuala Kumpur (IUKL), Kajang, Selangor, Malaysia
| | - Nurul Farhana Badrul Hisham
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Nur Syatila Ab Ghani
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Zeti-Azura Mohamed-Hussein
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
- Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
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Rosignoli S, Paiardini A. Boosting the Full Potential of PyMOL with Structural Biology Plugins. Biomolecules 2022; 12:biom12121764. [PMID: 36551192 PMCID: PMC9775141 DOI: 10.3390/biom12121764] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorithms and user interfaces. In recent years PyMOL, widely used software for biomolecules visualization and analysis, has started to play a key role in providing an open platform for the successful implementation of expert knowledge into an easy-to-use molecular graphics tool. This review outlines the plugins and features that make PyMOL an eligible environment for supporting structural bioinformatics analyses.
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Khan MA, Al Mamun Khan MA, Mahfuz AMUB, Sanjana JM, Ahsan A, Gupta DR, Hoque MN, Islam T. Highly potent natural fungicides identified in silico against the cereal killer fungus Magnaporthe oryzae. Sci Rep 2022; 12:20232. [PMID: 36418863 PMCID: PMC9684433 DOI: 10.1038/s41598-022-22217-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 10/11/2022] [Indexed: 11/25/2022] Open
Abstract
Magnaporthe oryzae is one of the most notorious fungal pathogens that causes blast disease in cereals, and results in enormous loss of grain production. Many chemical fungicides are being used to control the pathogen but none of them are fully effective in controlling blast disease. Therefore, there is a demand for the discovery of a new natural biofungicide to manage the blast disease efficiently. A large number of new natural products showed inhibitory activities against M. oryzae in vitro. To find out effective biofungicides, we performed in silico molecular docking analysis of some of the potent natural compounds targeting four enzymes namely, scytalone dehydratase, SDH1 (PDB ID:1STD), trihydroxynaphthalene reductase, 3HNR (PDB ID:1YBV), trehalose-6-phosphate synthase, Tps1 (PDB ID:6JBI) and isocitrate lyase, ICL1 (PDB ID:5E9G) of M. oryzae fungus that regulate melanin biosynthesis and/or appresorium formation. Thirty-nine natural compounds that were previously reported to inhibit the growth of M. oryzae were subjected to rigid and flexible molecular docking against aforementioned enzymes followed by molecular dynamic simulation. The results of virtual screening showed that out of 39, eight compounds showed good binding energy with any one of the target enzymes as compared to reference commercial fungicides, azoxystrobin and strobilurin. Among the compounds, camptothecin, GKK1032A2 and chaetoviridin-A bind with more than one target enzymes of M. oryzae. All of the compounds except tricyclazole showed good bioactivity score. Taken together, our results suggest that all of the eight compounds have the potential to develop new fungicides, and remarkably, camptothecin, GKK1032A2 and chaetoviridin-A could act as multi-site mode of action fungicides against the blast fungus M. oryzae.
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Affiliation(s)
- Md. Arif Khan
- grid.443057.10000 0004 4683 7084Department of Biotechnology and Genetic Engineering, University of Development Alternative, Dhaka, 1209 Bangladesh
| | - Md. Abdullah Al Mamun Khan
- grid.443019.b0000 0004 0479 1356Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902 Bangladesh
| | - A. M. U. B. Mahfuz
- grid.443057.10000 0004 4683 7084Department of Biotechnology and Genetic Engineering, University of Development Alternative, Dhaka, 1209 Bangladesh
| | - Jannatul Maowa Sanjana
- grid.443019.b0000 0004 0479 1356Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902 Bangladesh
| | - Asif Ahsan
- grid.411511.10000 0001 2179 3896Department of Biotechnology, Bangladesh Agricultural University, Mymensingh, 2202 Bangladesh
| | - Dipali Rani Gupta
- grid.443108.a0000 0000 8550 5526Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, 1706 Bangladesh
| | - M. Nazmul Hoque
- grid.443108.a0000 0000 8550 5526Department of Gynecology, Obstetrics and Reproductive Health, BSMRAU, Gazipur, 1706 Bangladesh
| | - Tofazzal Islam
- grid.443108.a0000 0000 8550 5526Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, 1706 Bangladesh
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Abadi B, Aarabi Jeshvaghani AH, Fathalipour H, Dehghan L, Rahimi Sirjani K, Forootanfar H. Therapeutic Strategies in the Fight against COVID-19: From Bench to Bedside. IRANIAN JOURNAL OF MEDICAL SCIENCES 2022; 47:517-532. [PMID: 36380976 PMCID: PMC9652495 DOI: 10.30476/ijms.2021.92662.2396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 11/17/2021] [Accepted: 12/10/2021] [Indexed: 06/16/2023]
Abstract
In December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in China. This virus rapidly spread worldwide and was declared a global pandemic by the World Health Organization (WHO) in March 2020. High incidence, long incubation period, and diverse clinical signs of the disease posed a huge challenge globally. The efforts of health systems have been focused on repurposing existing drugs or developing innovative therapies to reduce the morbidity and mortality associated with SARS-CoV-2. In addition, most of the large pharmaceutical companies are intensely working on vaccine development to swiftly deliver safe and effective vaccines to prevent further spread of the virus. In this review, we will discuss the latest data on therapeutic strategies undergoing clinical trials. Additionally, we will provide a summary of vaccines currently under development.
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Affiliation(s)
- Banafshe Abadi
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Brain Cancer Research Core, Universal Scientific Education and Research Network, Tehran, Iran
| | | | - Hadis Fathalipour
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran
| | - Leili Dehghan
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran
| | | | - Hamid Forootanfar
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran
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Salod Z, Mahomed O. Mapping Potential Vaccine Candidates Predicted by VaxiJen for Different Viral Pathogens between 2017-2021-A Scoping Review. Vaccines (Basel) 2022; 10:1785. [PMID: 36366294 PMCID: PMC9695814 DOI: 10.3390/vaccines10111785] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/16/2022] [Accepted: 10/18/2022] [Indexed: 09/29/2023] Open
Abstract
Reverse vaccinology (RV) is a promising alternative to traditional vaccinology. RV focuses on in silico methods to identify antigens or potential vaccine candidates (PVCs) from a pathogen's proteome. Researchers use VaxiJen, the most well-known RV tool, to predict PVCs for various pathogens. The purpose of this scoping review is to provide an overview of PVCs predicted by VaxiJen for different viruses between 2017 and 2021 using Arksey and O'Malley's framework and the Preferred Reporting Items for Systematic Reviews extension for Scoping Reviews (PRISMA-ScR) guidelines. We used the term 'vaxijen' to search PubMed, Scopus, Web of Science, EBSCOhost, and ProQuest One Academic. The protocol was registered at the Open Science Framework (OSF). We identified articles on this topic, charted them, and discussed the key findings. The database searches yielded 1033 articles, of which 275 were eligible. Most studies focused on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), published between 2020 and 2021. Only a few articles (8/275; 2.9%) conducted experimental validations to confirm the predictions as vaccine candidates, with 2.2% (6/275) articles mentioning recombinant protein expression. Researchers commonly targeted parts of the SARS-CoV-2 spike (S) protein, with the frequently predicted epitopes as PVCs being major histocompatibility complex (MHC) class I T cell epitopes WTAGAAAYY, RQIAPGQTG, IAIVMVTIM, and B cell epitope IAPGQTGKIADY, among others. The findings of this review are promising for the development of novel vaccines. We recommend that vaccinologists use these findings as a guide to performing experimental validation for various viruses, with SARS-CoV-2 as a priority, because better vaccines are needed, especially to stay ahead of the emergence of new variants. If successful, these vaccines could provide broader protection than traditional vaccines.
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Affiliation(s)
- Zakia Salod
- Discipline of Public Health Medicine, University of KwaZulu-Natal, Durban 4051, South Africa
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Rab7 Investigation Insights into the Existence of White Spot Syndrome Virus in Crustaceans: An In Silico Approach. Adv Virol 2022; 2022:3887441. [PMID: 36313590 PMCID: PMC9613395 DOI: 10.1155/2022/3887441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
In this study, previously published Rab7 sequences from National Center for Biotechnology Information (NCBI) have been investigated from chordates, mollusks, annelids, cnidarians, amphibians, priapulids, brachiopods, and arthropods including decapods and other groups. Among decapod crustacean isolates, amino acid variations were found in 13 locations. Penaeid shrimps had variations in positions 13 (I ⟶ J), 22 (T ⟶ A), 124 (G ⟶ X), and 149 (V ⟶ X) while interestingly the freshwater prawn and mitten crab both had amino acid substitutions in positions 87 (V ⟶ C) and 95 (T ⟶ S) along with the other disagreements in amino acid positions 178 (S ⟶ N), 201 (D ⟶ E), 181 (E ⟶ D), 182 (L ⟶ I), 183 (Y ⟶ G), 184 (N ⟶ H), and 198 (A ⟶ T). Among 100 isolates of Rab7 from organisms of various phyla, mutations were observed in several positions. These mutations caused variations in hydrophobicity and isoelectric point which impact the ligand-protein binding affinity. Some common mutations were found in the organisms of the same phylum and among different phyla. Homology modeling of Rab7 proteins from different organisms was done using SWISS-MODEL and validated further by developing Ramachandran plots. Protein-protein docking showed that active residues were there in the binding interfaces of Rab7 from organisms of seven different phyla and VP28 of WSSV. Similarities were observed in the Rab7-VP28 complexes in those selected organisms which differed from the Rab7-VP28 complex in the case of Penaeid shrimp. The findings of this study suggest that WSSV may exist in different marine organisms that have Rab7 protein and transmit to crustaceans like shrimps and crabs which are of commercial importance.
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de Pinho Favaro MT, Atienza-Garriga J, Martínez-Torró C, Parladé E, Vázquez E, Corchero JL, Ferrer-Miralles N, Villaverde A. Recombinant vaccines in 2022: a perspective from the cell factory. Microb Cell Fact 2022; 21:203. [PMID: 36199085 PMCID: PMC9532831 DOI: 10.1186/s12934-022-01929-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/30/2022] [Indexed: 12/02/2022] Open
Abstract
The last big outbreaks of Ebola fever in Africa, the thousands of avian influenza outbreaks across Europe, Asia, North America and Africa, the emergence of monkeypox virus in Europe and specially the COVID-19 pandemics have globally stressed the need for efficient, cost-effective vaccines against infectious diseases. Ideally, they should be based on transversal technologies of wide applicability. In this context, and pushed by the above-mentioned epidemiological needs, new and highly sophisticated DNA-or RNA-based vaccination strategies have been recently developed and applied at large-scale. Being very promising and effective, they still need to be assessed regarding the level of conferred long-term protection. Despite these fast-developing approaches, subunit vaccines, based on recombinant proteins obtained by conventional genetic engineering, still show a wide spectrum of interesting potentialities and an important margin for further development. In the 80's, the first vaccination attempts with recombinant vaccines consisted in single structural proteins from viral pathogens, administered as soluble plain versions. In contrast, more complex formulations of recombinant antigens with particular geometries are progressively generated and explored in an attempt to mimic the multifaceted set of stimuli offered to the immune system by replicating pathogens. The diversity of recombinant antimicrobial vaccines and vaccine prototypes is revised here considering the cell factory types, through relevant examples of prototypes under development as well as already approved products.
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Affiliation(s)
- Marianna Teixeira de Pinho Favaro
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
- Laboratory of Vaccine Development, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Jan Atienza-Garriga
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
| | - Carlos Martínez-Torró
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
| | - Eloi Parladé
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain
| | - Esther Vázquez
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain.
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
| | - José Luis Corchero
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain.
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
| | - Neus Ferrer-Miralles
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain.
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
| | - Antonio Villaverde
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Cerdanyola del Vallès, 08193, Barcelona, Spain.
- Departament de Genètica i de Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, 08193, Barcelona, Spain.
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Ghosh N, Saha I, Sharma N, Nandi S. Bioinformatics pipeline unveils genetic variability to synthetic vaccine design for Indian SARS-CoV-2 genomes. Int Immunopharmacol 2022; 112:109224. [PMID: 36116149 PMCID: PMC9444899 DOI: 10.1016/j.intimp.2022.109224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/22/2022] [Accepted: 08/31/2022] [Indexed: 11/30/2022]
Abstract
In the worrisome scenarios of various waves of SARS-CoV-2 pandemic, a comprehensive bioinformatics pipeline is essential to analyse the virus genomes in order to understand its evolution, thereby identifying mutations as signature SNPs, conserved regions and subsequently to design epitope based synthetic vaccine. We have thus performed multiple sequence alignment of 4996 Indian SARS-CoV-2 genomes as a case study using MAFFT followed by phylogenetic analysis using Nextstrain to identify virus clades. Furthermore, based on the entropy of each genomic coordinate of the aligned sequences, conserved regions are identified. After refinement of the conserved regions, based on its length, one conserved region is identified for which the primers and probes are reported for virus detection. The refined conserved regions are also used to identify T-cell and B-cell epitopes along with their immunogenic and antigenic scores. Such scores are used for selecting the most immunogenic and antigenic epitopes. By executing this pipeline, 40 unique signature SNPs are identified resulting in 23 non-synonymous signature SNPs which provide 28 amino acid changes in protein. On the other hand, 12 conserved regions are selected based on refinement criteria out of which one is selected as the potential target for virus detection. Additionally, 22 MHC-I and 21 MHC-II restricted T-cell epitopes with 10 unique HLA alleles each and 17 B-cell epitopes are obtained for 12 conserved regions. All the results are validated both quantitatively and qualitatively which show that from genetic variability to synthetic vaccine design, the proposed pipeline can be used effectively to combat SARS-CoV-2.
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Affiliation(s)
- Nimisha Ghosh
- Department of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India
| | - Indrajit Saha
- Department of Computer Science and Engineering, National Institute of Technical Teachers' Training and Research, Kolkata, West Bengal, India.
| | - Nikhil Sharma
- Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
| | - Suman Nandi
- Department of Computer Science and Engineering, National Institute of Technical Teachers' Training and Research, Kolkata, West Bengal, India
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Utility of in silico-identified-peptides in spike-S1 domain and nucleocapsid of SARS-CoV-2 for antibody detection in COVID-19 patients and antibody production. Sci Rep 2022; 12:15057. [PMID: 36064951 PMCID: PMC9442563 DOI: 10.1038/s41598-022-18517-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 08/12/2022] [Indexed: 12/12/2022] Open
Abstract
SARS-CoV-2 contains four structural proteins, two of which, the spike and nucleocapsid, are commonly used for the standardization of novel methods for antibody detection; however, some limitations in their use have been observed due to the homology of this virus with other phylogenetically-related viruses. We performed in silico analysis to search for novel immunogenic and antigenic peptides. A total of twenty-five peptides were preliminarily selected, located in the 3D structure of both proteins. Finally, eight peptides were selected: one located in the N protein and seven in the S1 domain of the spike protein. Additionally, the localization of selected peptides in 2D structures and possible changes in the sequences of these peptides in SARS-CoV-2 variants of concern were analyzed. All peptides were synthetized in MAP8 format, and recombinant S (trimer and RBD) and N proteins were used as antigens to search for antibodies in serum samples derived from COVID-19 patients, and for antibody response in New Zealand rabbits. Results showed high recognition of the serum derived from COVID-19 patients to all selected peptides; however, only the RBD3 peptide induced antibody production. In conclusion, this work provides evidence for a new strategy in peptide selection and its use for antibody detection or antibody production in animals.
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Madi N, Sadeq M, Essa S, Safar HA, Al-Adwani A, Al-Khabbaz M. Strain Variation Based on Spike Glycoprotein Gene of SARS-CoV-2 in Kuwait from 2020 to 2021. Pathogens 2022; 11:pathogens11090985. [PMID: 36145416 PMCID: PMC9505955 DOI: 10.3390/pathogens11090985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/22/2022] [Accepted: 08/26/2022] [Indexed: 11/18/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19), which was first identified in Wuhan, China, in December 2019. With the global transmission of the virus, many SARS-CoV-2 variants have emerged due to the alterations of the spike glycoprotein. Therefore, the S glycoprotein encoding gene has widely been used for the molecular analysis of SARS-Co-2 due to its features affecting antigenicity and immunogenicity. We analyzed the S gene sequences of 35 SARS-CoV-2 isolates in Kuwait from March 2020 to February 2021 using the Sanger method and MinION nanopore technology to confirm novel nucleotide alterations. Our results show that the Kuwaiti strains from clade 19A and B were the dominant variants early in the pandemic, while clade 20I (Alpha, V1) was the dominant variant from February 2021 onward. Besides the known mutations, 21 nucleotide deletions in the S glycoprotein in one Kuwaiti strain were detected, which might reveal a recombinant SARS-CoV-2 with the defective viral genome (DVG). This study emphasizes the importance of closely perceiving the emerging clades with these mutations during this continuous pandemic as some may influence the specificity of diagnostic tests, such as RT-PCR and even vaccine design directing these positions.
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Affiliation(s)
- Nada Madi
- Virology Unit, Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait
- Correspondence: ; Tel.: +965-99736265; Fax: +965-25332719
| | - Mohammad Sadeq
- Jaber Al-Ahmad Armed Forces Hospital, Sabhan 91710, Kuwait
| | - Sahar Essa
- Virology Unit, Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait
| | - Hussain A. Safar
- Research Core Facility and OMICS Research Unit, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait
| | - Anfal Al-Adwani
- Virology Unit, Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait
| | - Marwa Al-Khabbaz
- Virology Unit, Department of Microbiology, Faculty of Medicine, Kuwait University, Safat 13110, Kuwait
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Considering epitopes conservity in targeting SARS-CoV-2 mutations in variants: a novel immunoinformatics approach to vaccine design. Sci Rep 2022; 12:14017. [PMID: 35982065 PMCID: PMC9386201 DOI: 10.1038/s41598-022-18152-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/05/2022] [Indexed: 11/08/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has gained mutations at an alarming rate in the past years. Developing mutations can increase the virus's pathogenicity and virulence; reduce the efficacy of vaccines, antibodies neutralization, and even challenge adaptive immunity. So, it is essential to identify conserved epitopes (with fewer mutations) in different variants with appropriate antigenicity to target the variants by an appropriate vaccine design. Yet as, 3369 SARS-CoV-2 genomes were collected from global initiative on sharing avian flu data. Then, mutations in the immunodominant regions (IDRs), immune epitope database (IEDB) epitopes, and also predicted epitopes were calculated. In the following, epitopes conservity score against the total number of events (mutations) and the number of mutated sites in each epitope was weighted by Shannon entropy and then calculated by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Based on the TOPSIS conservity score and antigenicity score, the epitopes were plotted. The result demonstrates that almost all epitopes and IDRs with various lengths have gained different numbers of mutations in dissimilar sites. Herein, our two-step calculation for conservity recommends only 8 IDRs, 14 IEDB epitopes, and 10 predicted epitopes among all epitopes. The selected ones have higher conservity and higher immunogenicity. This method is an open-source multi-criteria decision-making platform, which provides a scientific approach to selecting epitopes with appropriate conservity and immunogenicity; against ever-changing viruses.
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Hoque MN, Sarkar MMH, Khan MA, Hossain MA, Hasan MI, Rahman MH, Habib MA, Akter S, Banu TA, Goswami B, Jahan I, Nafisa T, Molla MMA, Soliman ME, Araf Y, Khan MS, Zheng C, Islam T. Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches. Front Immunol 2022; 13:918692. [PMID: 36059456 PMCID: PMC9429819 DOI: 10.3389/fimmu.2022.918692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/27/2022] [Indexed: 12/02/2022] Open
Abstract
The COVID-19 pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has created an urgent global situation. Therefore, it is necessary to identify the differentially expressed genes (DEGs) in COVID-19 patients to understand disease pathogenesis and the genetic factor(s) responsible for inter-individual variability and disease comorbidities. The pandemic continues to spread worldwide, despite intense efforts to develop multiple vaccines and therapeutic options against COVID-19. However, the precise role of SARS-CoV-2 in the pathophysiology of the nasopharyngeal tract (NT) is still unfathomable. This study utilized machine learning approaches to analyze 22 RNA-seq data from COVID-19 patients (n = 8), recovered individuals (n = 7), and healthy individuals (n = 7) to find disease-related differentially expressed genes (DEGs). We compared dysregulated DEGs to detect critical pathways and gene ontology (GO) connected to COVID-19 comorbidities. We found 1960 and 153 DEG signatures in COVID-19 patients and recovered individuals compared to healthy controls. In COVID-19 patients, the DEG–miRNA, and DEG–transcription factors (TFs) interactions network analysis revealed that E2F1, MAX, EGR1, YY1, and SRF were the highly expressed TFs, whereas hsa-miR-19b, hsa-miR-495, hsa-miR-340, hsa-miR-101, and hsa-miR-19a were the overexpressed miRNAs. Three chemical agents (Valproic Acid, Alfatoxin B1, and Cyclosporine) were abundant in COVID-19 patients and recovered individuals. Mental retardation, mental deficit, intellectual disability, muscle hypotonia, micrognathism, and cleft palate were the significant diseases associated with COVID-19 by sharing DEGs. Finally, the detected DEGs mediated by TFs and miRNA expression indicated that SARS-CoV-2 infection might contribute to various comorbidities. Our results provide the common DEGs between COVID-19 patients and recovered humans, which suggests some crucial insights into the complex interplay between COVID-19 progression and the recovery stage, and offer some suggestions on therapeutic target identification in COVID-19 caused by the SARS-CoV-2.
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Affiliation(s)
- M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh
| | | | - Md. Arif Khan
- Department of Biotechnology and Genetic Engineering, University of Development Alternative, Dhaka, Bangladesh
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
| | - Md. Arju Hossain
- Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
| | - Md. Imran Hasan
- Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
| | - Md. Habibur Rahman
- Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
| | - Md. Ahashan Habib
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Shahina Akter
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Tanjina Akhtar Banu
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Barna Goswami
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Iffat Jahan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Tasnim Nafisa
- National Institute of Laboratory Medicine and Referral Center, Dhaka, Bangladesh
| | | | - Mahmoud E. Soliman
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Yusha Araf
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
- Department of Immunology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
| | - M. Salim Khan
- Bangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka, Bangladesh
- *Correspondence: Tofazzal Islam, ; Chunfu Zheng, ; Md. Salim Khan,
| | - Chunfu Zheng
- Department of Immunology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada
- *Correspondence: Tofazzal Islam, ; Chunfu Zheng, ; Md. Salim Khan,
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
- *Correspondence: Tofazzal Islam, ; Chunfu Zheng, ; Md. Salim Khan,
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Kumar A, Ladha A, Choudhury A, Ikbal AMA, Bhattacharjee B, Das T, Gupta G, Sharma C, Sarbajna A, Mandal SC, Choudhury MD, Ali N, Slama P, Rezaei N, Palit P, Tiwari ON. The chimera of S1 and N proteins of SARS-CoV-2: can it be a potential vaccine candidate for COVID-19? Expert Rev Vaccines 2022; 21:1071-1086. [PMID: 35604776 DOI: 10.1080/14760584.2022.2081156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as one of the biggest global health issues. Spike protein (S) and nucleoprotein (N), the major immunogenic components of SARS-CoV-2, have been shown to be involved in the attachment and replication of the virus inside the host cell. AREAS COVERED Several investigations have shown that the SARS-CoV-2 nucleoprotein can elicit a cell-mediated immune response capable of regulating viral replication and lowering viral burden. However, the development of an effective vaccine that can stop the transmission of SARS-CoV-2 remains a matter of concern. Literature was retrieved using the keywords COVID-19 vaccine, role of nucleoprotein as vaccine candidate, spike protein, nucleoprotein immune responses against SARS-CoV-2, and chimera vaccine in PubMed, Google Scholar, and Google. EXPERT OPINION We have focussed on the use of chimera protein, consisting of N and S-1 protein components of SARS-CoV-2, as a potential vaccine candidate. This may act as a polyvalent mixed recombinant protein vaccine to elicit a strong T and B cell immune response, which will be capable of neutralizing the wild and mutated variants of SARS-CoV-2, and also restricting its attachment, replication, and budding in the host cell.
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Affiliation(s)
- Amresh Kumar
- Department of Life Sciences and Bioinformatics, Assam University, Silchar, India
| | - Amit Ladha
- Area of Biotechnology and Bioinformatics, NIIT University, Neemrana, India
| | - Ankita Choudhury
- Department of Pharmaceutical Sciences, Allama TR College of Pharmacy, Hospital Rd, Srigouri, India
| | - Abu Md Ashif Ikbal
- Department of Pharmacy, Tripura University (A Central University), Suryamaninagar, Tripura (W), India
| | - Bedanta Bhattacharjee
- Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, India
| | - Tanmay Das
- Department of Business Administration, Assam University Silchar, India
| | - Gaurav Gupta
- Area of Biotechnology and Bioinformatics, NIIT University, Neemrana, India.,Department of Immunology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Chhavi Sharma
- Area of Biotechnology and Bioinformatics, NIIT University, Neemrana, India
| | - Adity Sarbajna
- Department of Zoology, Surendranath College, Kolkata, India
| | - Subhash C Mandal
- Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India
| | | | - Nahid Ali
- Division of Immunology, Department of Infectious Diseases, INDIAN INSTITUTE OF CHEMICAL BIOLOGY, Kolkata, India
| | - Petr Slama
- Laboratory of Animal Immunology and Biotechnology, Department of Animal Morphology, Physiology and Genetics, Faculty of AgriSciences, Mendel University in Brno, Zemedelska 1, Brno, Czech Republic
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.,Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Stockholm, Sweden
| | - Partha Palit
- Department of Pharmaceutical Sciences Drug Discovery research Laboratory, Assam University, Silchar, India
| | - Onkar Nath Tiwari
- Centre for Conservation and Utilisation of Blue Green Algae (CCUBGA), Division of Microbiology, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, India
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40
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Tsuchiya K, Yamamoto N, Hosaka Y, Wakita M, Hiki M, Matsushita Y, Mori H, Hori S, Misawa S, Miida T, Nojiri S, Takahashi K, Naito T, Tabe Y. Molecular characterization of SARS-CoV-2 detected in Tokyo, Japan during five waves: Identification of the amino acid substitutions associated with transmissibility and severity. Front Microbiol 2022; 13:912061. [PMID: 35966679 PMCID: PMC9363898 DOI: 10.3389/fmicb.2022.912061] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 06/29/2022] [Indexed: 11/15/2022] Open
Abstract
Many variants of SARS-CoV-2 have emerged around the world. It is therefore important to understand its global viral evolution and the corresponding mutations associated with transmissibility and severity. In this study, we analyzed 112 whole genome sequences of SARS-CoV-2 collected from patients at Juntendo University Hospital in Tokyo and the genome data from entire Japan deposited in Global Initiative on Sharing Avian Influenza Data (GISAID) to examine the relationship of amino acid changes with the transmissibility and the severity of each strain/lineage. We identified 12 lineages, including B.1.1.284, B.1.1.214, R.1, AY.29, and AY.29.1, which were prevalent specifically in Japan. B.1.1.284 was most frequently detected in the second wave, but B.1.1.214 became the predominant lineage in the third wave, indicating that B.1.1.214 has a higher transmissibility than B.1.1.284. The most prevalent lineage during the fourth and fifth wave was B.1.1.7 and AY.29, respectively. In regard to the severity of identified lineages, B.1.1.214 was significantly lower than the reference lineage, B.1.1.284. Analysis of the genome sequence and other traits of each lineage/strain revealed the mutations in S, N, and NSPs that increase the transmissibility and/or severity. These mutations include S: M153T, N: P151L, NSP3: S543P, NSP5: P108S, and NSP12: A423V in B.1.1.284; S: W152L and E484K in R.1; S: H69del, V70del, and N501Y in the Alpha strain; S: L452R, T478K, and P681R in the Delta strain. Furthermore, it is suggested that the transmissibility of B.1.1.214 could be enhanced by the mutations N: M234I, NSP14: P43L, and NSP16: R287I. To address the issue of the virus evolution, it is necessary to continuously monitor the genomes of SARS-CoV-2 and analyze the effects of mutations for developing vaccines and antiviral drugs effective against SARS-CoV-2 variants.
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Affiliation(s)
- Koji Tsuchiya
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Norio Yamamoto
- Department of General Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Microbiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Microbiology, Tokai University School of Medicine, Isehara, Japan
- *Correspondence: Norio Yamamoto, ;
| | - Yoshie Hosaka
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Mitsuru Wakita
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Makoto Hiki
- Department of Emergency Medicine, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Yasushi Matsushita
- Department of Internal Medicine and Rheumatology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Hirotake Mori
- Department of General Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Satoshi Hori
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Infection Control Science, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Shigeki Misawa
- Department of Clinical Laboratory, Juntendo University Hospital, Bunkyo, Tokyo, Japan
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
| | - Shuko Nojiri
- Medical Technology Innovation Center, Juntendo University, Bunkyo-ku, Japan
| | - Kazuhisa Takahashi
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Toshio Naito
- Department of General Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
| | - Yoko Tabe
- Department of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan
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Vassilaki N, Papadimitriou K, Ioannidis A, Papandreou NC, Milona RS, Iconomidou VA, Chatzipanagiotou S. SARS-CoV-2 Amino Acid Mutations Detection in Greek Patients Infected in the First Wave of the Pandemic. Microorganisms 2022; 10:microorganisms10071430. [PMID: 35889149 PMCID: PMC9322066 DOI: 10.3390/microorganisms10071430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/01/2022] [Accepted: 07/11/2022] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel virus that belongs to the Coronoviridae family, emerged in December 2019, causing the COVID-19 pandemic in March 2020. Unlike previous SARS and Middle East respiratory syndrome (MERS) outbreaks, this virus has a higher transmissibility rate, albeit a lower case fatality rate, which results in accumulation of a significant number of mutations and a faster evolution rate. Genomic studies on the mutation rate of the virus, as well as the identification of mutations that prevail and their impact on disease severity, are of great importance for pandemic surveillance and vaccine and drug development. Here, we aim to identify mutations on the SARS-CoV-2 viral genome and their effect on the proteins they are located in, in Greek patients infected in the first wave of the pandemic. To this end, we perform SARS-CoV-2 amplicon-based NGS sequencing on nasopharyngeal swab samples from Greek patients and bioinformatic analysis of the results. Although SARS-CoV-2 is considered genetically stable, we discover a variety of mutations on the viral genome. In detail, 18 mutations are detected in total on 10 SARS-CoV-2 isolates. The mutations are located on ORF1ab, S protein, M protein, ORF3a and ORF7a. Sixteen are also detected in patients from other regions around the world, and two are identified for the first time in the present study. Most of them result in amino acid substitutions. These substitutions are analyzed using computational tools, and the results indicate minor or major impact on the proteins’ structural stability, which could probably affect viral transmissibility and pathogenesis. The correlation of these variations with the viral load levels is examined, and their implication for disease severity and the biology of the virus are discussed.
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Affiliation(s)
- Niki Vassilaki
- Laboratory of Molecular Virology, Hellenic Pasteur Institute, 127 Vasilissis Sofias Avenue, 11521 Athens, Greece; (N.V.); (R.S.M.)
| | - Konstantinos Papadimitriou
- Laboratory of Food Quality Control and Hygiene, Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece;
| | - Anastasios Ioannidis
- Department of Nursing, Faculty of Health Sciences, University of Peloponnese, Sehi Area, 22100 Tripoli, Greece;
| | - Nikos C. Papandreou
- Section of Cell Biology and Biophysics, Department of Biology, School of Science, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece; (N.C.P.); (V.A.I.)
| | - Raphaela S. Milona
- Laboratory of Molecular Virology, Hellenic Pasteur Institute, 127 Vasilissis Sofias Avenue, 11521 Athens, Greece; (N.V.); (R.S.M.)
| | - Vassiliki A. Iconomidou
- Section of Cell Biology and Biophysics, Department of Biology, School of Science, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece; (N.C.P.); (V.A.I.)
| | - Stylianos Chatzipanagiotou
- Department of Medical Biopathology, Eginition Hospital, Athens Medical School, National and Kapodistrian University of Athens, 72–74 Vasilissis Sofias Avenue, 11528 Athens, Greece
- Correspondence:
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Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022; 122:11287-11368. [PMID: 35594413 PMCID: PMC9159519 DOI: 10.1021/acs.chemrev.1c00965] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Despite tremendous efforts in the past two years, our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus-host interactions, immune response, virulence, transmission, and evolution is still very limited. This limitation calls for further in-depth investigation. Computational studies have become an indispensable component in combating coronavirus disease 2019 (COVID-19) due to their low cost, their efficiency, and the fact that they are free from safety and ethical constraints. Additionally, the mechanism that governs the global evolution and transmission of SARS-CoV-2 cannot be revealed from individual experiments and was discovered by integrating genotyping of massive viral sequences, biophysical modeling of protein-protein interactions, deep mutational data, deep learning, and advanced mathematics. There exists a tsunami of literature on the molecular modeling, simulations, and predictions of SARS-CoV-2 and related developments of drugs, vaccines, antibodies, and diagnostics. To provide readers with a quick update about this literature, we present a comprehensive and systematic methodology-centered review. Aspects such as molecular biophysics, bioinformatics, cheminformatics, machine learning, and mathematics are discussed. This review will be beneficial to researchers who are looking for ways to contribute to SARS-CoV-2 studies and those who are interested in the status of the field.
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Affiliation(s)
- Kaifu Gao
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Rui Wang
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Jiahui Chen
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Limei Cheng
- Clinical
Pharmacology and Pharmacometrics, Bristol
Myers Squibb, Princeton, New Jersey 08536, United States
| | - Jaclyn Frishcosy
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuta Huzumi
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuchi Qiu
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Tom Schluckbier
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Xiaoqi Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Guo-Wei Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
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43
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Sharma A, Virmani T, Pathak V, Sharma A, Pathak K, Kumar G, Pathak D. Artificial Intelligence-Based Data-Driven Strategy to Accelerate Research, Development, and Clinical Trials of COVID Vaccine. BIOMED RESEARCH INTERNATIONAL 2022; 2022:7205241. [PMID: 35845955 PMCID: PMC9279074 DOI: 10.1155/2022/7205241] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/15/2022] [Indexed: 12/12/2022]
Abstract
The global COVID-19 (coronavirus disease 2019) pandemic, which was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a significant loss of human life around the world. The SARS-CoV-2 has caused significant problems to medical systems and healthcare facilities due to its unexpected global expansion. Despite all of the efforts, developing effective treatments, diagnostic techniques, and vaccinations for this unique virus is a top priority and takes a long time. However, the foremost step in vaccine development is to identify possible antigens for a vaccine. The traditional method was time taking, but after the breakthrough technology of reverse vaccinology (RV) was introduced in 2000, it drastically lowers the time needed to detect antigens ranging from 5-15 years to 1-2 years. The different RV tools work based on machine learning (ML) and artificial intelligence (AI). Models based on AI and ML have shown promising solutions in accelerating the discovery and optimization of new antivirals or effective vaccine candidates. In the present scenario, AI has been extensively used for drug and vaccine research against SARS-COV-2 therapy discovery. This is more useful for the identification of potential existing drugs with inhibitory human coronavirus by using different datasets. The AI tools and computational approaches have led to speedy research and the development of a vaccine to fight against the coronavirus. Therefore, this paper suggests the role of artificial intelligence in the field of clinical trials of vaccines and clinical practices using different tools.
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Affiliation(s)
- Ashwani Sharma
- School of Pharmaceutical Sciences, MVN University, Haryana 121102, India
| | - Tarun Virmani
- School of Pharmaceutical Sciences, MVN University, Haryana 121102, India
| | - Vipluv Pathak
- GL Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India
| | | | - Kamla Pathak
- Uttar Pradesh University of Medical Sciences, Etawah, Uttar Pradesh 206001, India
| | - Girish Kumar
- School of Pharmaceutical Sciences, MVN University, Haryana 121102, India
| | - Devender Pathak
- Rajiv Academy for Pharmacy, NH. #2, Mathura Delhi Road P.O, Chhatikara, Mathura, Uttar Pradesh 281001, India
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Khan Z, Ualiyeva D, Amissah OB, Sapkota S, Hameed HMA, Zhang T. Insight Into Novel Anti-tuberculosis Vaccines by Using Immunoinformatics Approaches. Front Microbiol 2022; 13:866873. [PMID: 35722321 PMCID: PMC9201507 DOI: 10.3389/fmicb.2022.866873] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/16/2022] [Indexed: 01/26/2023] Open
Abstract
Tuberculosis (TB), an infectious disease, has been a leading cause of morbidity and mortality for decades. The causative agent of TB is the Mycobacterium tuberculosis (Mtb) which can infects various parts of the body, mainly the lungs in pulmonary TB cases. Mycobacterium bovis Bacillus Calmette–Guerin (BCG) is the only approved vaccine for TB, but its efficiency to combat pulmonary TB is limited. Multidrug-resistant (MDR) TB and extensive drug-resistant (XDR) TB requires the evolution of more potent vaccines. Therefore, this research aims to generate a universal TB subunit vaccine using advanced immunoinformatics techniques. In generating a novel multiepitope subunit vaccine, we selected the conserved and experimentally confirmed antigens Rv0058, Rv0101, and Rv3343. After a rigorous evaluation, the top candidates from predicted Helper T-lymphocytes (HTL), Cytotoxic T-lymphocytes (CTL), and B-cell epitopes were considered potential vaccine candidates. Immunogenicity was enhanced by the addition of an adjuvant to the ultimate construct of the vaccine. B-cell epitopes predictions guaranteed the eventual induction of a humoral response. Thereafter, dynamics simulations and molecular docking validated the vaccine-receptor complex’s stability and high affinity for the immune receptor TLR-3. Also, immune simulations revealed the significantly elevated levels of immunoglobulins such as IgM, cytokines such as interleukin-2, helper T (Th) cells, and cytotoxic T-cell populations. These results agreed with the actual inflammatory response and showed rapid antigen clearance after manifold exposure. Finally, the E. coli K12 strain was confirmed via in-silico cloning for quality expression. Nevertheless, in vivo experiments should be performed to validate the safety of the proposed vaccine and its inherent ability to prevent TB infection.
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Affiliation(s)
- Zafran Khan
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China.,Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China.,China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - Daniya Ualiyeva
- University of Chinese Academy of Sciences, Beijing, China.,Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,Faculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Obed Boadi Amissah
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Sanjeep Sapkota
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China.,Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China.,China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - H M Adnan Hameed
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China.,Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China.,China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China.,Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China.,China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
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Naveed M, Yaseen AR, Khalid H, Ali U, Rabaan AA, Garout M, Halwani MA, Al Mutair A, Alhumaid S, Al Alawi Z, Alhashem YN, Ahmed N, Yean CY. Execution and Design of an Anti HPIV-1 Vaccine with Multiple Epitopes Triggering Innate and Adaptive Immune Responses: An Immunoinformatic Approach. Vaccines (Basel) 2022; 10:vaccines10060869. [PMID: 35746477 PMCID: PMC9228812 DOI: 10.3390/vaccines10060869] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/20/2022] [Accepted: 05/26/2022] [Indexed: 12/14/2022] Open
Abstract
Human Parainfluenza Virus (HPIV) Type-1, which is an anti-sense ribonucleic acid (RNA) virus belonging to the paramyxoviridae family, induces upper and lower respiratory tract infections. The infections caused by the HPIV Type-1 virus are usually confined to northwestern regions of America. HPIV-1 causes infections through the virulence of the hemagglutinin-neuraminidase (HN) protein, which plays a key role in the attachment of the viral particle with the host’s receptor cells. To the best of our knowledge, there is no effective antiviral drugs or vaccines being developed to combat the infection caused by HPIV-1. In the current study, a multiple epitope-based vaccine was designed against HPIV-1 by taking the viral HN protein as a probable vaccine candidate. The multiple epitopes were selected in accordance with their allergenicity, antigenicity and toxicity scoring. The determined epitopes of the HN protein were connected simultaneously using specific conjugates along with an adjuvant to construct the subunit vaccine, with an antigenicity score of 0.6406. The constructed vaccine model was docked with various Toll-like Receptors (TLRs) and was computationally cloned in a pET28a (+) vector to analyze the expression of vaccine sequence in the biological system. Immune stimulations carried out by the C-ImmSim Server showed an excellent result of the body’s defense system against the constructed vaccine model. The AllerTop tool predicted that the construct was non-allergen with and without the adjuvant sequence, and the VaxiJen 2.0 with 0.4 threshold predicted that the construct was antigenic, while the Toxinpred predicted that the construct was non-toxic. Protparam results showed that the selected protein was stable with 36.48 instability index (II) scores. The Grand average of Hydropathicity or GRAVY score indicated that the constructed protein was hydrophilic in nature. Aliphatic index values (93.53) confirmed that the construct was thermostable. This integrated computational approach shows that the constructed vaccine model has a potential to combat laryngotracheobronchitis infections caused by HPIV-I.
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Affiliation(s)
- Muhammad Naveed
- Department of Biotechnology, Faculty of Life Sciences, University of Central Punjab, Lahore 54000, Pakistan; (A.R.Y.); (U.A.)
- Correspondence: (M.N.); (A.A.R.); (C.Y.Y.)
| | - Allah Rakha Yaseen
- Department of Biotechnology, Faculty of Life Sciences, University of Central Punjab, Lahore 54000, Pakistan; (A.R.Y.); (U.A.)
| | - Hira Khalid
- Department of Medical Education, King Edward Medical University, Lahore 54000, Pakistan;
| | - Urooj Ali
- Department of Biotechnology, Faculty of Life Sciences, University of Central Punjab, Lahore 54000, Pakistan; (A.R.Y.); (U.A.)
| | - Ali A. Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
- Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
- Correspondence: (M.N.); (A.A.R.); (C.Y.Y.)
| | - Mohamed Garout
- Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia;
| | - Muhammad A. Halwani
- Department of Medical Microbiology, Faculty of Medicine, Al Baha University, Al Baha 4781, Saudi Arabia;
| | - Abbas Al Mutair
- Research Center, Almoosa Specialist Hospital, Al-Ahsa 36342, Saudi Arabia;
- College of Nursing, Princess Norah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia
- School of Nursing, Wollongong University, Wollongong, NSW 2522, Australia
| | - Saad Alhumaid
- Administration of Pharmaceutical Care, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa 31982, Saudi Arabia;
| | - Zainab Al Alawi
- Division of Allergy and Immunology, College of Medicine, King Faisal University, Al-Ahsa 31982, Saudi Arabia;
| | - Yousef N. Alhashem
- Department of Clinical Laboratory Sciences, Mohammed AlMana College of Health Sciences, Dammam 34222, Saudi Arabia;
| | - Naveed Ahmed
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Malaysia;
| | - Chan Yean Yean
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Malaysia;
- Correspondence: (M.N.); (A.A.R.); (C.Y.Y.)
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Naorem RS, Pangabam BD, Bora SS, Goswami G, Barooah M, Hazarika DJ, Fekete C. Identification of Putative Vaccine and Drug Targets against the Methicillin-Resistant Staphylococcus aureus by Reverse Vaccinology and Subtractive Genomics Approaches. Molecules 2022; 27:2083. [PMID: 35408485 PMCID: PMC9000511 DOI: 10.3390/molecules27072083] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/18/2022] [Accepted: 03/21/2022] [Indexed: 01/23/2023] Open
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) is an opportunistic pathogen and responsible for causing life-threatening infections. The emergence of hypervirulent and multidrug-resistant (MDR) S. aureus strains led to challenging issues in antibiotic therapy. Consequently, the morbidity and mortality rates caused by S. aureus infections have a substantial impact on health concerns. The current worldwide prevalence of MRSA infections highlights the need for long-lasting preventive measures and strategies. Unfortunately, effective measures are limited. In this study, we focus on the identification of vaccine candidates and drug target proteins against the 16 strains of MRSA using reverse vaccinology and subtractive genomics approaches. Using the reverse vaccinology approach, 4 putative antigenic proteins were identified; among these, PrsA and EssA proteins were found to be more promising vaccine candidates. We applied a molecular docking approach of selected 8 drug target proteins with the drug-like molecules, revealing that the ZINC4235426 as potential drug molecule with favorable interactions with the target active site residues of 5 drug target proteins viz., biotin protein ligase, HPr kinase/phosphorylase, thymidylate kinase, UDP-N-acetylmuramoyl-L-alanyl-D-glutamate-L-lysine ligase, and pantothenate synthetase. Thus, the identified proteins can be used for further rational drug or vaccine design to identify novel therapeutic agents for the treatment of multidrug-resistant staphylococcal infection.
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Affiliation(s)
- Romen Singh Naorem
- Department of General and Environmental Microbiology, Institute of Biology and Sport Biology, University of Pécs, Ifusag utja. 6, 7624 Pecs, Hungary; (R.S.N.); (B.D.P.)
- Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat 785013, India; (M.B.); (D.J.H.)
| | - Bandana Devi Pangabam
- Department of General and Environmental Microbiology, Institute of Biology and Sport Biology, University of Pécs, Ifusag utja. 6, 7624 Pecs, Hungary; (R.S.N.); (B.D.P.)
| | - Sudipta Sankar Bora
- DBT—North East Centre for Agricultural Biotechnology (DBT-AAU Center), Assam Agricultural University, Jorhat 785013, India;
| | - Gunajit Goswami
- Multidisciplinary Research Unit, Jorhat Medical College and Hospital, Jorhat 785008, India;
| | - Madhumita Barooah
- Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat 785013, India; (M.B.); (D.J.H.)
- DBT—North East Centre for Agricultural Biotechnology (DBT-AAU Center), Assam Agricultural University, Jorhat 785013, India;
| | - Dibya Jyoti Hazarika
- Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat 785013, India; (M.B.); (D.J.H.)
| | - Csaba Fekete
- Department of General and Environmental Microbiology, Institute of Biology and Sport Biology, University of Pécs, Ifusag utja. 6, 7624 Pecs, Hungary; (R.S.N.); (B.D.P.)
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Damas MSF, Mazur FG, Freire CCDM, da Cunha AF, Pranchevicius MCDS. A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens. Front Immunol 2022; 13:768569. [PMID: 35371033 PMCID: PMC8967166 DOI: 10.3389/fimmu.2022.768569] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 02/14/2022] [Indexed: 11/24/2022] Open
Abstract
Serratia marcescens is now an important opportunistic pathogen that can cause serious infections in hospitalized or immunocompromised patients. Here, we used extensive bioinformatic analyses based on reverse vaccinology and subtractive proteomics-based approach to predict potential vaccine candidates against S. marcescens. We analyzed the complete proteome sequence of 49 isolate of Serratia marcescens and identified 5 that were conserved proteins, non-homologous from human and gut flora, extracellular or exported to the outer membrane, and antigenic. The identified proteins were used to select 5 CTL, 12 HTL, and 12 BCL epitopes antigenic, non-allergenic, conserved, hydrophilic, and non-toxic. In addition, HTL epitopes were able to induce interferon-gamma immune response. The selected peptides were used to design 4 multi-epitope vaccines constructs (SMV1, SMV2, SMV3 and SMV4) with immune-modulating adjuvants, PADRE sequence, and linkers. Peptide cleavage analysis showed that antigen vaccines are processed and presented via of MHC class molecule. Several physiochemical and immunological analyses revealed that all multiepitope vaccines were non-allergenic, stable, hydrophilic, and soluble and induced the immunity with high antigenicity. The secondary structure analysis revealed the designed vaccines contain mainly coil structure and alpha helix structures. 3D analyses showed high-quality structure. Molecular docking analyses revealed SMV4 as the best vaccine construct among the four constructed vaccines, demonstrating high affinity with the immune receptor. Molecular dynamics simulation confirmed the low deformability and stability of the vaccine candidate. Discontinuous epitope residues analyses of SMV4 revealed that they are flexible and can interact with antibodies. In silico immune simulation indicated that the designed SMV4 vaccine triggers an effective immune response. In silico codon optimization and cloning in expression vector indicate that SMV4 vaccine can be efficiently expressed in E. coli system. Overall, we showed that SMV4 multi-epitope vaccine successfully elicited antigen-specific humoral and cellular immune responses and may be a potential vaccine candidate against S. marcescens. Further experimental validations could confirm its exact efficacy, the safety and immunogenicity profile. Our findings bring a valuable addition to the development of new strategies to prevent and control the spread of multidrug-resistant Gram-negative bacteria with high clinical relevance.
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Affiliation(s)
| | - Fernando Gabriel Mazur
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, Brazil
| | | | | | - Maria-Cristina da Silva Pranchevicius
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, Brazil
- Centro de Ciências Biológicas e da Saúde, Biodiversidade Tropical – BIOTROP, Universidade Federal de São Carlos, São Carlos, Brazil
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48
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Saba AA, Adiba M, Chakraborty S, Nabi AN. Prediction of putative potential siRNAs for inhibiting SARS-CoV-2 strains, including variants of concern and interest. Future Microbiol 2022; 17:449-463. [PMID: 35285248 PMCID: PMC8958991 DOI: 10.2217/fmb-2021-0130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Aim: To predict siRNAs as a therapeutic intervention for highly infectious new variants of SARS-CoV-2. Methods: Conserved coding sequence regions of 11 SARS-CoV-2 proteins were used to construct siRNAs through sampling of metadata comprising 214,256 sequences. Results: Predicted siRNAs S1: 5′-UCAUUGAGAAAUGUUUACGCA-3′ and S2: 5′-AAAGACAUCAGCAUACUCCUG-3′ against RdRp of SARS-CoV-2 satisfied all the stringent filtering processes and showed good binding characteristics. The designed siRNAs are expected to inhibit viral replication and transcription of various coronavirus strains encompassing variants of concern and interest. Conclusion: The predicted siRNAs are expected to be potent against SARS-CoV-2, and following in vitro and in vivo validations may be considered as potential therapeutic measures.
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Affiliation(s)
- Abdullah Al Saba
- Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Maisha Adiba
- Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Sajib Chakraborty
- Department of Biochemistry and Molecular Biology, Systems Cell-Signalling Laboratory, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Ahm Nurun Nabi
- Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh
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Designing efficient multi-epitope peptide-based vaccine by targeting the antioxidant thioredoxin of bancroftian filarial parasite. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2022; 98:105237. [PMID: 35131521 DOI: 10.1016/j.meegid.2022.105237] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/22/2022] [Accepted: 02/02/2022] [Indexed: 12/24/2022]
Abstract
Thioredoxin is a low molecular weight redox-active protein of filarial parasite that plays a crucial role in downregulating the host immune response to prolong the survival of the parasite within the host body. It has the ability to cope up with the oxidative challenges posed by the host. Hence, the antioxidant protein of the filarial parasite has been suggested to be a useful target for immunotherapeutic intervention of human filariasis. In this study, we have designed a multi-epitope peptide-based vaccine using thioredoxin of Wuchereria bancrofti. Different MHC-I and MHC-II epitopes were predicted using various web servers to construct the vaccine model as MHC-I and MHC-II epitopes are crucial for the development of both humoral and cellular immune responses. Moreover, TLRs specific adjuvants were also incorporated into the vaccine candidates as TLRs are the key immunomodulator to execute innate immunity. Protein-protein molecular docking and simulation analysis between the vaccine and human TLR was performed. TLR5 is the most potent receptor to convey the vaccine-mediated inductive signal for eliciting an innate immune response. A satisfactory immunogenic report from an in-silico immune simulation experiment directed us to propose our vaccine model for experimental and clinical validation. The reverse translated vaccine sequence was also cloned in pET28a(+) to apply the concept in a wet lab experiment in near future. Taken together, this in-silico study on the design of a vaccine construct to target W. bancrofti thioredoxin is predicted to be a future hope in saving human-being from the threat of filariasis.
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50
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Alam ASMRU, Islam OK, Hasan MS, Islam MR, Mahmud S, Al‐Emran HM, Jahid IK, Crandall KA, Hossain MA. Dominant clade-featured SARS-CoV-2 co-occurring mutations reveal plausible epistasis: An in silico based hypothetical model. J Med Virol 2022; 94:1035-1049. [PMID: 34676891 PMCID: PMC8661685 DOI: 10.1002/jmv.27416] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 10/15/2021] [Accepted: 10/20/2021] [Indexed: 01/18/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved into eight fundamental clades with four of these clades (G, GH, GR, and GV) globally prevalent in 2020. To explain plausible epistatic effects of the signature co-occurring mutations of these circulating clades on viral replication and transmission fitness, we proposed a hypothetical model using in silico approach. Molecular docking and dynamics analyses showed the higher infectiousness of a spike mutant through more favorable binding of G614 with the elastase-2. RdRp mutation p.P323L significantly increased genome-wide mutations (p < 0.0001), allowing for more flexible RdRp (mutated)-NSP8 interaction that may accelerate replication. Superior RNA stability and structural variation at NSP3:C241T might impact protein, RNA interactions, or both. Another silent 5'-UTR:C241T mutation might affect translational efficiency and viral packaging. These four G-clade-featured co-occurring mutations might increase viral replication. Sentinel GH-clade ORF3a:p.Q57H variants constricted the ion-channel through intertransmembrane-domain interaction of cysteine(C81)-histidine(H57). The GR-clade N:p.RG203-204KR would stabilize RNA interaction by a more flexible and hypo-phosphorylated SR-rich region. GV-clade viruses seemingly gained the evolutionary advantage of the confounding factors; nevertheless, N:p.A220V might modulate RNA binding with no phenotypic effect. Our hypothetical model needs further retrospective and prospective studies to understand detailed molecular events and their relationship to the fitness of SARS-CoV-2.
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Affiliation(s)
| | - Ovinu Kibria Islam
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - Md. Shazid Hasan
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - Mir Raihanul Islam
- Division of Poverty, Health, and NutritionInternational Food Policy Research InstituteBangladesh
| | - Shafi Mahmud
- Department Genetic Engineering and BiotechnologyUniversity of RajshahiRajshahiBangladesh
| | - Hassan M. Al‐Emran
- Department of Biomedical EngineeringJashore University of Science and TechnologyJashoreBangladesh
| | - Iqbal Kabir Jahid
- Department of MicrobiologyJashore University of Science and TechnologyJashoreBangladesh
| | - Keith A. Crandall
- Department of Biostatistics and Bioinformatics, Computational Biology Institute, Milken Institute School of Public HealthThe George Washington UniversityWashington DCUSA
| | - M. Anwar Hossain
- Office of the Vice ChancellorJashore University of Science and TechnologyJashoreBangladesh
- Department of MicrobiologyUniversity of DhakaDhakaBangladesh
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