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Vidyasagar GVC, Reddy PVJ, Ghouse MM, Venkateswarulu TC, Kishor PBK, Suravajhala P, Polavarapu R. Designing and expression of novel recombinant fusion protein for efficient antigen screening of SARS-CoV-2. AMB Express 2024; 14:80. [PMID: 38990364 PMCID: PMC11239635 DOI: 10.1186/s13568-024-01719-y] [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: 03/02/2024] [Accepted: 05/08/2024] [Indexed: 07/12/2024] Open
Abstract
Corona virus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), claimed millions globally. After the report of the first incidence of the virus, variants emerged with each posing a unique threat than its predecessors. Though many advanced diagnostic assays like real-time PCR are available for screening of SARS-CoV-2, their applications are being hindered because of accessibility and cost. With the advent of rapid assays for antigenic screening of SARS-CoV-2 made diagnostics far easy as the assays are rapid, cost-effective and can be used at point-of-care settings. In the present study, a fusion construct was made utilising highly immunogenic B cell epitopes from the three important structural proteins of SARS-CoV-2. The protein was expressed; purified capture mAbs generated and rapid antigen assay was developed. Eight hundred and forty nasopharyngeal swab samples were screened for the evaluation of the developed assay which showed 37.14% positivity, 96.51% and 100% sensitivity and specificity respectively. The assay developed was supposed to identify SARS-CoV-2 wild-type as well as variants of concern and variants of importance in real-time conditions.
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Affiliation(s)
- G Vinaya Chandu Vidyasagar
- Genomix CARL Pvt. Ltd, YSR Kadapa, Pulivendula, 516 390, Andhra Pradesh, India
- Department of Biotechnology, Vignan's Foundation for Science, Technology & Research, Vadlamudi, Guntur, 522 213, India
| | - P V Janardhan Reddy
- Genomix CARL Pvt. Ltd, YSR Kadapa, Pulivendula, 516 390, Andhra Pradesh, India
| | - M Md Ghouse
- Genomix CARL Pvt. Ltd, YSR Kadapa, Pulivendula, 516 390, Andhra Pradesh, India
| | - T C Venkateswarulu
- Department of Biotechnology, Vignan's Foundation for Science, Technology & Research, Vadlamudi, Guntur, 522 213, India
| | - P B Kavi Kishor
- Genomix CARL Pvt. Ltd, YSR Kadapa, Pulivendula, 516 390, Andhra Pradesh, India
- Department of Genetics, Osmania University, Hyderabad, 500 007, India
| | - Prashanth Suravajhala
- Amrita School of Biotechnology, Amrita Viswa Vidyapeetham, Clappana, 690525, Kerala, India.
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2
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Pan X, Guo X, Shi J. Design of a novel multiepitope vaccine with CTLA-4 extracellular domain against Mycoplasma pneumoniae: A vaccine-immunoinformatics approach. Vaccine 2024; 42:3883-3898. [PMID: 38777697 DOI: 10.1016/j.vaccine.2024.04.098] [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: 09/17/2023] [Revised: 04/16/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Community-acquired pneumonia often stems from the macrolide-resistant strain of Mycoplasma pneumoniae, yet no effective vaccine exists against it. METHODS This study proposes a vaccine-immunoinformatics strategy for Mycoplasma pneumoniae and other pathogenic microbes. Specifically, dominant B and T cell epitopes of the Mycoplasma pneumoniae P30 adhesion protein were identified through immunoinformatics method. The vaccine sequence was then constructed by coupling with CTLA-4 extracellular region, a novel molecular adjuvant for antigen-presenting cells. Subsequently, the vaccine's physicochemical properties, antigenicity, and allergenicity were verified. Molecular dynamics modeling was employed to confirm interaction with TLR-2, TLR-4, B7-1, and B7-2. Finally, the vaccine underwent in silico cloning for expression. RESULTS The vaccine exhibited both antigenicity and non-allergenicity. Molecular dynamics simulation, post-docking with TLR-2, TLR-4, B7-1, and B7-2, demonstrated stable interaction between the vaccine and these molecules. In silico cloning confirmed effective expression of the vaccine gene in insect baculovirus vectors. CONCLUSION This vaccine-immunoinformatics approach holds promise for the development of vaccines against Mycoplasma pneumoniae and other pathogenic non-viral and non-bacterial microbes.
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Affiliation(s)
- Xiaohong Pan
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, Yunnan, China
| | - Xiaomei Guo
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, Yunnan, China; Kunming Medical University, Kunming, Yunnan, China
| | - Jiandong Shi
- Yunnan Provincial Key Laboratory of Vector-borne Diseases Control and Research, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, Yunnan, China; National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Yunnan China.
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3
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Ji H, Wang XX, Zhang Q, Zhang C, Zhang HM. Predicting TCR sequences for unseen antigen epitopes using structural and sequence features. Brief Bioinform 2024; 25:bbae210. [PMID: 38711371 PMCID: PMC11074592 DOI: 10.1093/bib/bbae210] [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: 02/19/2024] [Revised: 04/04/2024] [Accepted: 04/22/2024] [Indexed: 05/08/2024] Open
Abstract
T-cell receptor (TCR) recognition of antigens is fundamental to the adaptive immune response. With the expansion of experimental techniques, a substantial database of matched TCR-antigen pairs has emerged, presenting opportunities for computational prediction models. However, accurately forecasting the binding affinities of unseen antigen-TCR pairs remains a major challenge. Here, we present convolutional-self-attention TCR (CATCR), a novel framework tailored to enhance the prediction of epitope and TCR interactions. Our approach utilizes convolutional neural networks to extract peptide features from residue contact matrices, as generated by OpenFold, and a transformer to encode segment-based coded sequences. We introduce CATCR-D, a discriminator that can assess binding by analyzing the structural and sequence features of epitopes and CDR3-β regions. Additionally, the framework comprises CATCR-G, a generative module designed for CDR3-β sequences, which applies the pretrained encoder to deduce epitope characteristics and a transformer decoder for predicting matching CDR3-β sequences. CATCR-D achieved an AUROC of 0.89 on previously unseen epitope-TCR pairs and outperformed four benchmark models by a margin of 17.4%. CATCR-G has demonstrated high precision, recall and F1 scores, surpassing 95% in bidirectional encoder representations from transformers score assessments. Our results indicate that CATCR is an effective tool for predicting unseen epitope-TCR interactions. Incorporating structural insights enhances our understanding of the general rules governing TCR-epitope recognition significantly. The ability to predict TCRs for novel epitopes using structural and sequence information is promising, and broadening the repository of experimental TCR-epitope data could further improve the precision of epitope-TCR binding predictions.
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MESH Headings
- Receptors, Antigen, T-Cell/chemistry
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/metabolism
- Receptors, Antigen, T-Cell/genetics
- Humans
- Epitopes/chemistry
- Epitopes/immunology
- Computational Biology/methods
- Neural Networks, Computer
- Epitopes, T-Lymphocyte/immunology
- Epitopes, T-Lymphocyte/chemistry
- Antigens/chemistry
- Antigens/immunology
- Amino Acid Sequence
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Affiliation(s)
- Hongchen Ji
- Department of Oncology of Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Xiang-Xu Wang
- Department of Oncology of Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Qiong Zhang
- Department of Oncology of Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Chengkai Zhang
- Department of Oncology of Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Hong-Mei Zhang
- Department of Oncology of Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
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4
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Lin Y, Ma J, Yuan H, Chen Z, Xu X, Jiang M, Zhu J, Meng W, Qiu W, Liu Y. Integrating Reinforcement Learning and Monte Carlo Tree Search for enhanced neoantigen vaccine design. Brief Bioinform 2024; 25:bbae247. [PMID: 38770719 PMCID: PMC11107383 DOI: 10.1093/bib/bbae247] [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: 03/04/2024] [Revised: 04/26/2024] [Accepted: 05/07/2024] [Indexed: 05/22/2024] Open
Abstract
Recent advances in cancer immunotherapy have highlighted the potential of neoantigen-based vaccines. However, the design of such vaccines is hindered by the possibility of weak binding affinity between the peptides and the patient's specific human leukocyte antigen (HLA) alleles, which may not elicit a robust adaptive immune response. Triggering cross-immunity by utilizing peptide mutations that have enhanced binding affinity to target HLA molecules, while preserving their homology with the original one, can be a promising avenue for neoantigen vaccine design. In this study, we introduced UltraMutate, a novel algorithm that combines Reinforcement Learning and Monte Carlo Tree Search, which identifies peptide mutations that not only exhibit enhanced binding affinities to target HLA molecules but also retains a high degree of homology with the original neoantigen. UltraMutate outperformed existing state-of-the-art methods in identifying affinity-enhancing mutations in an independent test set consisting of 3660 peptide-HLA pairs. UltraMutate further showed its applicability in the design of peptide vaccines for Human Papillomavirus and Human Cytomegalovirus, demonstrating its potential as a promising tool in the advancement of personalized immunotherapy.
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Affiliation(s)
- Yicheng Lin
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Jiakang Ma
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Haozhe Yuan
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Ziqiang Chen
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Xingyu Xu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Mengping Jiang
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Jialiang Zhu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Weida Meng
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
| | - Wenqing Qiu
- Shanghai Xuhui Central Hospital, 366 North Longchuan Road, Shanghai, 200231, China
| | - Yun Liu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Shanghai Xuhui Central Hospital, Fudan University, 131 DongAn Road, Shanghai, 200032, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 131 DongAn Road, Shanghai, 200032, China
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5
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Namdari H, Rezaei F, Heidarnejad F, Yaghoubzad-Maleki M, Karamigolbaghi M. Immunoinformatics Approach to Design a Chimeric CD70-Peptide Vaccine against Renal Cell Carcinoma. J Immunol Res 2024; 2024:2875635. [PMID: 38314087 PMCID: PMC10838208 DOI: 10.1155/2024/2875635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 02/06/2024] Open
Abstract
Renal cell carcinoma (RCC) accounts for the majority of cancer-related deaths worldwide. Overexpression of CD70 has been linked to advanced stages of RCC. Therefore, this study aims to develop a multiepitope vaccine targeting the overexpressed CD70 using immunoinformatics techniques. In this investigation, in silico multiepitope vaccines were constructed by linking specific CD70 protein epitopes for helper T lymphocytes and CD8+ T lymphocytes. To enhance immunogenicity, sequences of cell-penetrating peptide (CPP), penetratin (pAntp), along with the entire sequence of tumor necrosis factor-α (TNF-α), were attached to the N-terminal and C-terminal of the CD70 epitopes. Computational assessments were performed on these chimeric vaccines for antigenicity, allergenicity, peptide toxicity, population coverage, and physicochemical properties. Furthermore, refined 3D constructs were subjected to a range of analyses, encompassing structural B-cell epitope prediction and molecular docking. The chosen vaccine construct underwent diverse assessments such as molecular dynamics simulation, immune response simulation, and in silico cloning. All vaccines comprised antigenic, nontoxic, and nonallergenic epitopes, ensuring extensive global population coverage. The vaccine constructs demonstrated favorable physicochemical characteristics. The binding affinity of chimeric vaccines to the TNF receptor remained relatively stable, influenced by the alignment of vaccine components. Molecular docking and dynamics analyses predicted stable interactions between CD70-CPP-TNF and the TNF receptor, indicating potential efficacy. In silico codon optimization and cloning of the vaccine nucleic acid sequence were accomplished using the pET28a plasmid. Furthermore, this vaccine displayed the capacity to modulate humoral and cellular immune responses. Overall, the results suggest therapeutic potential for the chimeric CD70-CPP-TNF vaccine against RCC. However, validation through in vitro and in vivo experiments is necessary. This trial is registered with NCT04696731 and NCT04046445.
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Affiliation(s)
- Haideh Namdari
- Iranian Tissue Bank and Research Center, Tehran University of Medical Science, Tehran, Iran
| | - Farhad Rezaei
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Heidarnejad
- Biotechnology Research Center (BRC), Pasteur Institute of Iran, Tehran, Iran
| | - Mohammad Yaghoubzad-Maleki
- Division of Biochemistry, Department of Animal Biology, Faculty of Natural Sciences, University of Tabriz, Tabriz, Iran
| | - Maryam Karamigolbaghi
- Iranian Tissue Bank and Research Center, Tehran University of Medical Science, Tehran, Iran
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6
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Shawan MMAK, Sharma AR, Halder SK, Arian TA, Shuvo MN, Sarker SR, Hasan MA. Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based Peptide Vaccine. Int J Pept Res Ther 2023; 29:60. [PMID: 37251529 PMCID: PMC10203685 DOI: 10.1007/s10989-023-10535-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2023] [Indexed: 05/31/2023]
Abstract
A vaccine is defined as a biologic preparation that trains the immune system, boosts immunity, and protects against a deadly microbial infection. They have been used for centuries to combat a variety of contagious illnesses by means of subsiding the disease burden as well as eradicating the disease. Since infectious disease pandemics are a recurring global threat, vaccination has emerged as one of the most promising tools to save millions of lives and reduce infection rates. The World Health Organization reports that immunization protects three million individuals annually. Currently, multi-epitope-based peptide vaccines are a unique concept in vaccine formulation. Epitope-based peptide vaccines utilize small fragments of proteins or peptides (parts of the pathogen), called epitopes, that trigger an adequate immune response against a particular pathogen. However, conventional vaccine designing and development techniques are too cumbersome, expensive, and time-consuming. With the recent advancement in bioinformatics, immunoinformatics, and vaccinomics discipline, vaccine science has entered a new era accompanying a modern, impressive, and more realistic paradigm in designing and developing next-generation strong immunogens. In silico designing and developing a safe and novel vaccine construct involves knowledge of reverse vaccinology, various vaccine databases, and high throughput techniques. The computational tools and techniques directly associated with vaccine research are extremely effective, economical, precise, robust, and safe for human use. Many vaccine candidates have entered clinical trials instantly and are available prior to schedule. In light of this, the present article provides researchers with up-to-date information on various approaches, protocols, and databases regarding the computational designing and development of potent multi-epitope-based peptide vaccines that can assist researchers in tailoring vaccines more rapidly and cost-effectively.
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Affiliation(s)
- Mohammad Mahfuz Ali Khan Shawan
- Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252 Gangwon-do Republic of Korea
| | - Sajal Kumar Halder
- Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
| | - Tawsif Al Arian
- Department of Pharmacy, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
| | - Md. Nazmussakib Shuvo
- Department of Botany, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
| | - Satya Ranjan Sarker
- Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
| | - Md. Ashraful Hasan
- Department of Biochemistry and Molecular Biology, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
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7
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Park JY, Hewawaduge C, Sivasankar C, Lloren KKS, Oh B, So MY, Lee JH. An mRNA-Based Multiple Antigenic Gene Expression System Delivered by Engineered Salmonella for Severe Fever with Thrombocytopenia Syndrome and Assessment of Its Immunogenicity and Protection Using a Human DC-SIGN-Transduced Mouse Model. Pharmaceutics 2023; 15:pharmaceutics15051339. [PMID: 37242581 DOI: 10.3390/pharmaceutics15051339] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/14/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Currently, there are no commercial vaccines or therapeutics against severe fever with thrombocytopenia syndrome (SFTS) virus. This study explored an engineered Salmonella as a vaccine carrier to deliver a eukaryotic self-mRNA replicating vector, pJHL204. This vector expresses multiple SFTS virus antigenic genes for the nucleocapsid protein (NP), glycoprotein precursor (Gn/Gc), and nonstructural protein (NS) to induce host immune responses. The engineered constructs were designed and validated through 3D structure modeling. Western blot and qRT-PCR analyses of transformed HEK293T cells confirmed the delivery and expression of the vaccine antigens. Significantly, mice immunized with these constructs demonstrated a cell-mediated and humoral response as balanced Th1/Th2 immunity. The JOL2424 and JOL2425 delivering NP and Gn/Gc generated strong immunoglobulin IgG and IgM antibodies and high neutralizing titers. To further examine the immunogenicity and protection, we utilized a human DC-SIGN receptor transduced mouse model for SFTS virus infection by an adeno-associated viral vector system. Among the SFTSV antigen constructs, the construct with full-length NP and Gn/Gc and the construct with NP and selected Gn/Gc epitopes induced robust cellular and humoral immune responses. These were followed by adequate protection based on viral titer reduction and reduced histopathological lesions in the spleen and liver. In conclusion, these data indicate that recombinant attenuated Salmonella JOL2424 and JOL2425 delivering NP and Gn/Gc antigens of SFTSV are promising vaccine candidates that induce strong humoral and cellular immune responses and protection against SFTSV. Moreover, the data proved that the hDC-SIGN transduced mice as a worthy tool for immunogenicity study for SFTSV.
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Affiliation(s)
- Ji-Young Park
- Department of Veterinary Public Health, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
| | - Chamith Hewawaduge
- Department of Veterinary Public Health, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
| | - Chandran Sivasankar
- Department of Veterinary Public Health, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
| | - Khristine Kaith S Lloren
- Department of Veterinary Public Health, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
| | - Byungkwan Oh
- Department of Veterinary Pathology, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
| | - Mi Young So
- Department of Veterinary Public Health, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
| | - John Hwa Lee
- Department of Veterinary Public Health, College of Veterinary Medicine, Jeonbuk National University, Iksan 54596, Republic of Korea
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8
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Karimi S, Nazarian S, Sotoodehnejadnematalahi F, Dorostkar R, Amani J. Designing and Expression of Recombinant Chimeric Spike Protein from SARS-CoV-2 in Escherichia coli and Its Immunogenicity Assessment. IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH : IJPR 2023; 22:e137751. [PMID: 38116554 PMCID: PMC10728857 DOI: 10.5812/ijpr-137751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/17/2023] [Accepted: 08/09/2023] [Indexed: 12/21/2023]
Abstract
Since December 2019, the world has been grappling with an ongoing global COVID-19 pandemic. Various virus variants have emerged over the past two years, each posing a greater threat than its predecessors. The recent appearance of the omicron variant (B.1.1.529) has raised significant alarm within the field of epidemiology due to its highly contagious nature and rapid transmission rate. The omicron variant possessed mutations in the key receptor-binding domain (RBD) region, the S region, and these modifications have shown a notable impact on the strain's susceptibility to neutralizing antibodies. Developing safe and efficient vaccines to prevent a future severe acute respiratory outbreak of coronavirus syndrome 2 (SARS-CoV-2) is significant. Viral surface spike proteins are ideal targets for vaccines. This study aimed to find a multi-subunit chimeric vaccine. After conducting bioinformatics analysis, the recombinant spike (RS) protein of SARS-CoV-2 was deliberately designed and subsequently produced using E. coli expression systems. The immunogenicity of RS and neutralizing antibody responses were evaluated on immunized BALB/c mice. There was a significant difference in antibody titers between RS-immunized mice and control groups. The endpoint of the serum antibody titer of mice immunized with our chimeric protein was 2.5 times higher than that of the negative control. The chimeric construct could present multiple antigens simultaneously, influentially affecting immunization. Sera from mice vaccinated by RS could recognize the SARS-CoV-2 virus and neutralize antibodies. Our chimeric peptide could bind to antibodies in the serum of patients infected with different serotypes of the SARS-CoV-2 virus, such as alpha, delta, and omicron variants. The results indicated that the RS protein would be a potential novel antigenic candidate for subunit vaccine development and could be used as a useful alternative to generate diagnostic serological tests for SARS-CoV-2 infection.
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Affiliation(s)
- Sahar Karimi
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | | | | | - Roohollah Dorostkar
- Applied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Jafar Amani
- Applied Microbiology Research Center, System Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
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Multi-Epitope Vaccine Design against Monkeypox Virus via Reverse Vaccinology Method Exploiting Immunoinformatic and Bioinformatic Approaches. Vaccines (Basel) 2022; 10:vaccines10122010. [PMID: 36560421 PMCID: PMC9786588 DOI: 10.3390/vaccines10122010] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
(1) Background: The monkeypox virus is a zoonotic orthopox DNA virus that is closely linked to the virus. In light of the growing concern about this virus, the current research set out to use bioinformatics and immunoinformatics to develop a potential vaccine against the virus. (2) Methods: A multiepitope vaccine was constructed from the B-cell and T-cell epitopes of the MPXVgp181 strain using adjuvant and different linkers. The constructed vaccine was predicted for antigenicity, allergenicity, toxicity, and population coverage. In silico immune simulation studies were also carried out. Expression analysis and cloning of the constructed vaccine was carried out in the pET-28a(+) vector using snapgene. (3) Results: The constructed vaccine was predicted to be antigenic, non-allergenic, and non-toxic. It was predicted to have excellent global population coverage and produced satisfactory immune response. The in silico expression and cloning studies were successful in E. coli, which makes the vaccine construct suitable for mass production in the pharmaceutical industry. (4) Conclusion: The constructed vaccine is based on the B-cell and T-cell epitopes obtained from the MPXVgp181 strain. This research can be useful in developing a vaccine to combat the monkeypox virus globally after performing in-depth in vitro and in vivo studies.
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10
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Palatnik-de-Sousa I, Wallace ZS, Cavalcante SC, Ribeiro MPF, Silva JABM, Cavalcante RC, Scheuermann RH, Palatnik-de-Sousa CB. A novel vaccine based on SARS-CoV-2 CD4 + and CD8 + T cell conserved epitopes from variants Alpha to Omicron. Sci Rep 2022; 12:16731. [PMID: 36202985 PMCID: PMC9537284 DOI: 10.1038/s41598-022-21207-2] [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: 05/08/2022] [Accepted: 09/23/2022] [Indexed: 12/03/2022] Open
Abstract
COVID-19 caused, as of September, 1rst, 2022, 599,825,400 confirmed cases, including 6,469,458 deaths. Currently used vaccines reduced severity and mortality but not virus transmission or reinfection by different strains. They are based on the Spike protein of the Wuhan reference virus, which although highly antigenic suffered many mutations in SARS-CoV-2 variants, escaping vaccine-generated immune responses. Multiepitope vaccines based on 100% conserved epitopes of multiple proteins of all SARS-CoV-2 variants, rather than a single highly mutating antigen, could offer more long-lasting protection. In this study, a multiepitope multivariant vaccine was designed using immunoinformatics and in silico approaches. It is composed of highly promiscuous and strong HLA binding CD4+ and CD8+ T cell epitopes of the S, M, N, E, ORF1ab, ORF 6 and ORF8 proteins. Based on the analysis of one genome per WHO clade, the epitopes were 100% conserved among the Wuhan-Hu1, Alpha, Beta, Gamma, Delta, Omicron, Mµ, Zeta, Lambda and R1 variants. An extended epitope-conservancy analysis performed using GISAID metadata of 3,630,666 SARS-CoV-2 genomes of these variants and the additional genomes of the Epsilon, Lota, Theta, Eta, Kappa and GH490 R clades, confirmed the high conservancy of the epitopes. All but one of the CD4 peptides showed a level of conservation greater than 97% among all genomes. All but one of the CD8 epitopes showed a level of conservation greater than 96% among all genomes, with the vast majority greater than 99%. A multiepitope and multivariant recombinant vaccine was designed and it was stable, mildly hydrophobic and non-toxic. The vaccine has good molecular docking with TLR4 and promoted, without adjuvant, strong B and Th1 memory immune responses and secretion of high levels of IL-2, IFN-γ, lower levels of IL-12, TGF-β and IL-10, and no IL-6. Experimental in vivo studies should validate the vaccine’s further use as preventive tool with cross-protective properties.
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Affiliation(s)
- Iam Palatnik-de-Sousa
- Department of Electrical Engeneering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Zachary S Wallace
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California, San Diego, CA, USA
| | - Stephany Christiny Cavalcante
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Maria Paula Fonseca Ribeiro
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - João Antônio Barbosa Martins Silva
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rafael Ciro Cavalcante
- Department of Pharmacy, Campus Professor Antônio Garcia Filho, Federal University of Sergipe, Lagarto, Sergipe, Brazil
| | - Richard H Scheuermann
- Department of Informatics, J. Craig Venter Institute, La Jolla, CA, USA.,Department of Pathology, University of California, San Diego, CA, USA.,Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.,Global Virus Network, Baltimore, MD, USA
| | - Clarisa Beatriz Palatnik-de-Sousa
- Department of General Microbiology, Institute of Microbiology Paulo de Góes, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil. .,Institute for Immunological Investigation (III), INCT, National Council for Scientific and Technological Development (CNPq), São Paulo, Brazil.
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11
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Dhanda SK, Malviya J, Gupta S. Not all T cell epitopes are equally desired: a review of in silico tools for the prediction of cytokine-inducing potential of T-cell epitopes. Brief Bioinform 2022; 23:6692551. [PMID: 36070623 DOI: 10.1093/bib/bbac382] [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: 06/07/2022] [Revised: 08/01/2022] [Accepted: 08/09/2022] [Indexed: 11/13/2022] Open
Abstract
Assessment of protective or harmful T cell response induced by any antigenic epitope is important in designing any immunotherapeutic molecule. The understanding of cytokine induction potential also helps us to monitor antigen-specific cellular immune responses and rational vaccine design. The classical immunoinformatics tools served well for prediction of B cell and T cell epitopes. However, in the last decade, the prediction algorithms for T cell epitope inducing specific cytokines have also been developed and appreciated in the scientific community. This review summarizes the current status of such tools, their applications, background algorithms, their use in experimental setup and functionalities available in the tools/web servers.
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Affiliation(s)
- Sandeep Kumar Dhanda
- Department of Oncology, St Jude Children's Research Hospital, Memphis, Tennessee, USA-38015.,Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Chennai, India
| | - Jitendra Malviya
- Department of Life Sciences and Biological Science, IES University Bhopal, India
| | - Sudheer Gupta
- NGS & Bioinformatics Division, 3B BlackBio Biotech India Ltd., 7-C, Industrial Area, Govindpura, Bhopal, India
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12
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Hammed-Akanmu M, Mim M, Osman AY, Sheikh AM, Behmard E, Rabaan AA, Suppain R, Hajissa K. Designing a Multi-Epitope Vaccine against Toxoplasma gondii: An Immunoinformatics Approach. Vaccines (Basel) 2022; 10:vaccines10091389. [PMID: 36146470 PMCID: PMC9505382 DOI: 10.3390/vaccines10091389] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/28/2022] [Accepted: 08/16/2022] [Indexed: 12/25/2022] Open
Abstract
Infection with the intracellular apicomplexan parasite Toxoplasma gondii causes serious clinical outcomes in both human and veterinary settings worldwide. Although approximately one-third of the world’s population is infected with T. gondii, an effective human vaccine for this disease remains unavailable. We aimed to design a potential T. gondii vaccine candidate that consisted of the B- and T-lymphocyte epitopes of three parasite immunogenic antigens. Firstly, the immunodominant epitopes expressed within the ROP2, MIC3, and GRA7 proteins of T. gondii were identified. Subsequently, six B-cell epitopes, five CTL epitopes, and five HTL epitopes were combined to generate a multi-epitope vaccine, and the 50S ribosomal protein L7/L12 was added as an adjuvant to boost the vaccine’s immunogenicity. All these epitopes were found to be antigenic, nonallergenic, nontoxic, and nonhuman homologs. The designed vaccine construct has a molecular weight of 51 kDa, an antigenicity score of 0.6182, and a solubility of 0.903461. Likewise, the candidate vaccine was immunogenic, nonallergenic, and stable. Molecular docking analysis revealed stable interactions between the vaccine construct and the TLR-4 immune receptor. Meanwhile, the stability of the developed vaccine was validated using molecular dynamics simulation. In silico, the vaccine construct was able to trigger primary immune responses. However, further laboratory-based assessments are needed to confirm its efficacy and safety.
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Affiliation(s)
- Mutiat Hammed-Akanmu
- Department of Biomedicine, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Maria Mim
- Department of Biomedicine, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Abdinasir Yusuf Osman
- The Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK
| | - Abdulrahman M. Sheikh
- Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
| | - Esmaeil Behmard
- School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - 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
| | - Rapeah Suppain
- Department of Biomedicine, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
- Correspondence: (R.S.); (K.H.)
| | - Khalid Hajissa
- The Royal Veterinary College, University of London, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK
- Department of Zoology, Faculty of Science and Technology, Omdurman Islamic University, Omdurman P.O. Box 382, Sudan
- Correspondence: (R.S.); (K.H.)
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13
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Rani I, Kalsi A, Kaur G, Sharma P, Gupta S, Gautam RK, Chopra H, Bibi S, Ahmad SU, Singh I, Dhawan M, Emran TB. Modern drug discovery applications for the identification of novel candidates for COVID-19 infections. Ann Med Surg (Lond) 2022; 80:104125. [PMID: 35845863 PMCID: PMC9273307 DOI: 10.1016/j.amsu.2022.104125] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/05/2022] [Accepted: 07/06/2022] [Indexed: 11/23/2022] Open
Abstract
In early December 2019, a large pneumonia epidemic occurred in Wuhan, China. The World Health Organization is concerned about the outbreak of another coronavirus with the powerful, rapid, and contagious transmission. Anyone with minor symptoms like fever and cough or travel history to contaminated places might be suspected of having COVID-19. COVID-19 therapy focuses on treating the disease's symptoms. So far, no such therapeutic molecule has been shown effective in treating this condition. So the treatment is mostly supportive and plasma. Globally, numerous studies and researchers have recently started fighting this virus. Vaccines and chemical compounds are also being investigated against infection. COVID-19 was successfully diagnosed using RNA detection and very sensitive RT-PCR (reverse transcription-polymerase chain reaction). The evolution of particular vaccinations is required to reduce illness severity and spread. Numerous computational analyses and molecular docking have predicted various target compounds that might stop this condition. This paper examines the main characteristics of coronavirus and the computational analyses necessary to avoid infection. Importance of advanced genome sequencing in analyzing the sequential change in DNA and RNA due to SARS-CoV-2 genome. Lead Identification studies with computer drug-aided design. Prevalence of some flavonoid glycosides in medicinal plants which have potential protective effects against COVID-19 infections. Docking studies with alkaloids, vanillin derivatives and their actions suggest possible SARS- CoV-2 inhibition. Modeling studies outcomes about ligand-based and structure based activity.
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14
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Chakrabartty I, Khan M, Mahanta S, Chopra H, Dhawan M, Choudhary OP, Bibi S, Mohanta YK, Emran TB. Comparative overview of emerging RNA viruses: Epidemiology, pathogenesis, diagnosis and current treatment. Ann Med Surg (Lond) 2022; 79:103985. [PMID: 35721786 PMCID: PMC9188442 DOI: 10.1016/j.amsu.2022.103985] [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] [Received: 04/30/2022] [Revised: 06/07/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023] Open
Abstract
From many decades, emerging infections have threatened humanity. The pandemics caused by different CoVs have already claimed and will continue to claim millions of lives. The SARS, Ebola, MERS epidemics and the most recent emergence of COVID-19 pandemic have threatened populations across borders. Since a highly pathogenic CoV has been evolved into the human population in the twenty-first century known as SARS, scientific advancements and innovative methods to tackle these viruses have increased in order to improve response preparedness towards the unpredictable threat posed by these rapidly emerging pathogens. Recently published review articles on SARS-CoV-2 have mainly focused on its pathogenesis, epidemiology and available treatments. However, in this review, we have done a systematic comparison of all three CoVs i.e., SARS, MERS and SARS-CoV-2 along with Ebola and Zika in terms of their epidemiology, virology, clinical features and current treatment strategies. This review focuses on important emerging RNA viruses starting from Zika, Ebola and the CoVs which include SARS, MERS and SARS-CoV-2. Each of these viruses has been elaborated on the basis of their epidemiology, virulence, transmission and treatment. However, special attention has been given to SARS-CoV-2 and the disease caused by it i.e., COVID-19 due to current havoc caused worldwide. At the end, insights into the current understanding of the lessons learned from previous epidemics to combat emerging CoVs have been described. The travel-related viral spread, the unprecedented nosocomial outbreaks and the high case-fatality rates associated with these highly transmissible and pathogenic viruses highlight the need for new prophylactic and therapeutic actions which include but are not limited to clinical indicators, contact tracing, and laboratory investigations as important factors that need to be taken into account in order to arrive at the final conclusion. Recently published review articles on SARS-CoV-2 have mainly focused on its pathogenesis, epidemiology and available treatments. The pandemics caused by different CoVs have already claimed and will continue to claim millions of lives. This review focuses on important emerging RNA viruses starting from Zika, Ebola and the CoVs which include SARS, MERS and SARS-CoV-2. Globally, numerous studies and researchers have recently started fighting this virus.
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Affiliation(s)
- Ishani Chakrabartty
- Department of Applied Biology, School of Biological Sciences, University of Science and Technology Meghalaya (USTM), 9th Mile, Techno City, Baridua, Ri-Bhoi 793101, Meghalaya, India
| | - Maryam Khan
- Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, 202002, U.P, India
| | - Saurov Mahanta
- National Institute of Electronics and Information Technology (NIELIT), Guwahati Centre Guwahati, 781008, Assam, India
| | - Hitesh Chopra
- Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India
| | - Manish Dhawan
- Department of Microbiology, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.,Trafford College, Altrincham, Manchester, WA14 5PQ, UK
| | - Om Prakash Choudhary
- Department of Veterinary Anatomy and Histology, College of Veterinary Sciences and Animal Husbandry, Central Agricultural University (I), Selesih, Aizawl, India
| | - Shabana Bibi
- Department of Biosciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan.,Yunnan Herbal Laboratory, College of Ecology and Environmental Sciences, Yunnan University, Kunming, 650091, China
| | - Yugal Kishore Mohanta
- Department of Applied Biology, School of Biological Sciences, University of Science and Technology Meghalaya (USTM), 9th Mile, Techno City, Baridua, Ri-Bhoi 793101, Meghalaya, India
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong, 4381, Bangladesh.,Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, 1207, Bangladesh
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15
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Sethi G, Sethi S, Krishna R. Multi-epitope based vaccine design against Staphylococcus epidermidis: A subtractive proteomics and immunoinformatics approach. Microb Pathog 2022; 165:105484. [PMID: 35301068 DOI: 10.1016/j.micpath.2022.105484] [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: 12/29/2021] [Revised: 03/06/2022] [Accepted: 03/11/2022] [Indexed: 10/18/2022]
Abstract
Staphylococcus epidermidis has emerged as a major contributor of nosocomial infections across the world. With the increased rate of emerging resistant and previously undefined infectious diseases, there is a growing need to develop a novel vaccine possessing required immunogenic properties. The adopted reverse vaccinology approach identified "IMPNQILTI" of LysM domain protein, "YSYTYTIDA" of staphylococcal secretory antigen SsaA, and "YNYDANTGQ" neutral metalloproteinaseas potential peptides for vaccine design. The 9-mer epitope of target proteins is antigenic, virulent, surface-exposed, non-allergenic, and conserved across various strains of S. epidermidis. Protein-protein interactions study indicated the involvement of target proteins in major biological pathways for S. epidermidis pathogenesis. Protein-peptide docking was performed, and population coverage analysis showed significant interactions of T-cell epitopes with the HLA-binding molecules while covering 90.58% of the world's population. Further, a multi-epitope vaccine of 177 amino acids long was constructed. Docking with Toll-like receptor (TLR-2) molecule confirmed the effective interaction of the vaccine with the receptor. The vaccine efficiency in generating an effective immune response in the host was evaluated by immune simulation. Finally, in silico cloning confirmed that the constructed vaccine can be efficiently expressed in E. coli. However, the designed vaccine needs experimental validation to determine the effectiveness and immunogenicity profile, which will ensure an active immunity against S. epidermidis.
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Affiliation(s)
- Guneswar Sethi
- Department of Bioinformatics, Pondicherry University, Puducherry, 605014, India.
| | - Satyanarayan Sethi
- Central Institute of Freshwater Aquaculture, Research Institute, Bhubaneswar, 751002, India.
| | - Ramadas Krishna
- Department of Bioinformatics, Pondicherry University, Puducherry, 605014, India.
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16
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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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17
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Soltan MA, Behairy MY, Abdelkader MS, Albogami S, Fayad E, Eid RA, Darwish KM, Elhady SS, Lotfy AM, Alaa Eldeen M. In silico Designing of an Epitope-Based Vaccine Against Common E. coli Pathotypes. Front Med (Lausanne) 2022; 9:829467. [PMID: 35308494 PMCID: PMC8931290 DOI: 10.3389/fmed.2022.829467] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 01/21/2022] [Indexed: 12/20/2022] Open
Abstract
Escherichia coli (E. coli) is a Gram-negative bacterium that belongs to the family Enterobacteriaceae. While E. coli can stay as an innocuous resident in the digestive tract, it can cause a group of symptoms ranging from diarrhea to live threatening complications. Due to the increased rate of antibiotic resistance worldwide, the development of an effective vaccine against E. coli pathotypes is a major health priority. In this study, a reverse vaccinology approach along with immunoinformatics has been applied for the detection of potential antigens to develop an effective vaccine. Based on our screening of 5,155 proteins, we identified lipopolysaccharide assembly protein (LptD) and outer membrane protein assembly factor (BamA) as vaccine candidates for the current study. The conservancy of these proteins in the main E. coli pathotypes was assessed through BLASTp to make sure that the designed vaccine will be protective against major E. coli pathotypes. The multitope vaccine was constructed using cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B cell lymphocyte (BCL) epitopes with suitable linkers and adjuvant. Following that, it was analyzed computationally where it was found to be antigenic, soluble, stable, and non-allergen. Additionally, the adopted docking study, as well as all-atom molecular dynamics simulation, illustrated the promising predicted affinity and free binding energy of this constructed vaccine against the human Toll-like receptor-4 (hTLR-4) dimeric state. In this regard, wet lab studies are required to prove the efficacy of the potential vaccine construct that demonstrated promising results through computational validation.
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Affiliation(s)
- Mohamed A. Soltan
- Department of Microbiology and Immunology, Faculty of Pharmacy, Sinai University, Ismailia, Egypt
| | - Mohammed Y. Behairy
- Department of Microbiology and Immunology, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt
| | - Mennatallah S. Abdelkader
- Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
| | - Sarah Albogami
- Department of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia
| | - Eman Fayad
- Department of Biotechnology, College of Science, Taif University, Taif, Saudi Arabia
| | - Refaat A. Eid
- Department of Pathology, College of Medicine, King Khalid University, Abha, Saudi Arabia
| | - Khaled M. Darwish
- Department of Medicinal Chemistry, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
| | - Sameh S. Elhady
- Department of Natural Products, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Ahmed M. Lotfy
- Department of Pharmacology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt
| | - Muhammad Alaa Eldeen
- Division of Cell Biology, Histology and Genetics, Department of Zoology, Faculty of Science, Zagazig University, Zagazig, Egypt
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18
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Biswas S, Mahmud S, Mita MA, Afrose S, Hasan MR, Sultana Shimu MS, Saleh MA, Mostafa-Hedeab G, Alqarni M, Obaidullah AJ, Batiha GES. Molecular Docking and Dynamics Studies to Explore Effective Inhibitory Peptides Against the Spike Receptor Binding Domain of SARS-CoV-2. Front Mol Biosci 2022; 8:791642. [PMID: 35187069 PMCID: PMC8851422 DOI: 10.3389/fmolb.2021.791642] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/24/2021] [Indexed: 01/15/2023] Open
Abstract
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a pandemic due to the high transmission and mortality rate of this virus. The world health and economic sectors have been severely affected by this deadly virus, exacerbated by the lack of sufficient efficient vaccines. The design of effective drug candidates and their rapid development is necessary to combat this virus. In this study, we selected 23 antimicrobial peptides from the literature and predicted their structure using PEP-FOLD 3.5. In addition, we docked them to the SARS-CoV-2 spike protein receptor-binding domain (RBD) to study their capability to inhibit the RBD, which plays a significant role in virus binding, fusion and entry into the host cell. We used several docking programs including HDOCK, HPEPDOCK, ClusPro, and HawkDock to calculate the binding energy of the protein-peptide complexes. We identified four peptides with high binding free energy and docking scores. The docking results were further verified by molecular dynamics (MD) simulations to characterize the protein-peptide complexes in terms of their root-mean-square fluctuation (RMSF), root-mean-square deviation (RMSD), radius of gyration (Rg), solvent-accessible surface area (SASA), and hydrogen bond formation. Allergenicity and toxicity predictions suggested that the peptides we identified were non-allergenic and non-toxic. This study suggests that these four antimicrobial peptides could inhibit the RBD of SARS-CoV-2. Future in vitro and in vivo studies are necessary to confirm this.
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Affiliation(s)
- Suvro Biswas
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
| | - Shafi Mahmud
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
- *Correspondence: Shafi Mahmud, ; Md. Abu Saleh,
| | - Mohasana Akter Mita
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
| | - Shamima Afrose
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
| | - Md. Robiul Hasan
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
| | | | - Md. Abu Saleh
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh
- *Correspondence: Shafi Mahmud, ; Md. Abu Saleh,
| | - Gomaa Mostafa-Hedeab
- Pharmacology Department and Health Research Unit-medical College, Jouf University, Jouf, Saudi Arabia
- Pharmacology Department, Faculty of Medicine, Beni-Suef University, Beni Suef, Egypt
| | - Mohammed Alqarni
- Department of Pharmaceutical Chemistry, College of Pharmacy, Taif University, Taif, Saudi Arabia
| | - Ahmad J. Obaidullah
- Drug Exploration and Development Chair (DEDC), Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour, Egypt
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19
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Tallei TE, Fatimawali, Adam AA, Elseehy MM, El-Shehawi AM, Mahmoud EA, Tania AD, Niode NJ, Kusumawaty D, Rahimah S, Effendi Y, Idroes R, Celik I, Hossain MJ, Emran TB. Fruit Bromelain-Derived Peptide Potentially Restrains the Attachment of SARS-CoV-2 Variants to hACE2: A Pharmacoinformatics Approach. Molecules 2022; 27:260. [PMID: 35011492 PMCID: PMC8746556 DOI: 10.3390/molecules27010260] [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: 11/21/2021] [Revised: 12/09/2021] [Accepted: 12/10/2021] [Indexed: 12/14/2022] Open
Abstract
Before entering the cell, the SARS-CoV-2 spike glycoprotein receptor-binding domain (RBD) binds to the human angiotensin-converting enzyme 2 (hACE2) receptor. Hence, this RBD is a critical target for the development of antiviral agents. Recent studies have discovered that SARS-CoV-2 variants with mutations in the RBD have spread globally. The purpose of this in silico study was to determine the potential of a fruit bromelain-derived peptide. DYGAVNEVK. to inhibit the entry of various SARS-CoV-2 variants into human cells by targeting the hACE binding site within the RBD. Molecular docking analysis revealed that DYGAVNEVK interacts with several critical RBD binding residues responsible for the adhesion of the RBD to hACE2. Moreover, 100 ns MD simulations revealed stable interactions between DYGAVNEVK and RBD variants derived from the trajectory of root-mean-square deviation (RMSD), radius of gyration (Rg), and root-mean-square fluctuation (RMSF) analysis, as well as free binding energy calculations. Overall, our computational results indicate that DYGAVNEVK warrants further investigation as a candidate for preventing SARS-CoV-2 due to its interaction with the RBD of SARS-CoV-2 variants.
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Affiliation(s)
- Trina Ekawati Tallei
- Department of Biology, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado 95115, Indonesia
- The University Centre of Excellence for Biotechnology and Conservation of Wallacea, Institute for Research and Community Services, Sam Ratulangi University, Manado 95115, Indonesia; (F.); (N.J.N.)
| | - Fatimawali
- The University Centre of Excellence for Biotechnology and Conservation of Wallacea, Institute for Research and Community Services, Sam Ratulangi University, Manado 95115, Indonesia; (F.); (N.J.N.)
- Pharmacy Study Program, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado 95115, Indonesia;
| | - Ahmad Akroman Adam
- Dentistry Study Program, Faculty of Medicine, Sam Ratulangi University, Manado 95115, Indonesia;
| | - Mona M. Elseehy
- Department of Genetics, Faculty of Agriculture, University of Alexandria, Alexandria 21545, Egypt;
| | - Ahmed M. El-Shehawi
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;
| | - Eman A. Mahmoud
- Department of Food Industries, Faculty of Agriculture, Damietta University, Damietta 34511, Egypt;
| | - Adinda Dwi Tania
- Pharmacy Study Program, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado 95115, Indonesia;
| | - Nurdjannah Jane Niode
- The University Centre of Excellence for Biotechnology and Conservation of Wallacea, Institute for Research and Community Services, Sam Ratulangi University, Manado 95115, Indonesia; (F.); (N.J.N.)
- Department of Dermatology and Venereology, Faculty of Medicine, University of Sam Ratulangi, RD Kandou Hospital, Manado 95163, Indonesia
| | - Diah Kusumawaty
- Department of Biology, Faculty of Mathematics and Natural Sciences Education, Universitas Pendidikan Indonesia, Bandung 40154, Indonesia;
| | - Souvia Rahimah
- Food Technology Study Program, Department of Food Industrial Technology, Faculty of Agroindustrial Technology, Universitas Padjadjaran, Jatinangor 45363, Indonesia;
| | - Yunus Effendi
- Department of Biology, Faculty of Science and Technology, Al-Azhar Indonesia University, Jakarta 12110, Indonesia;
| | - Rinaldi Idroes
- Department of Pharmacy, Faculty of Mathematics and Natural Sciences, Universitas Syiah Kuala, Kopelma Darussalam, Banda Aceh 23111, Indonesia;
| | - Ismail Celik
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri 38039, Turkey;
| | - Md. Jamal Hossain
- Department of Pharmacy, State University of Bangladesh, 77 Satmasjid Road, Dhanmondi, Dhaka 1205, Bangladesh;
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
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20
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Sami SA, Marma KKS, Mahmud S, Khan MAN, Albogami S, El-Shehawi AM, Rakib A, Chakraborty A, Mohiuddin M, Dhama K, Uddin MMN, Hossain MK, Tallei TE, Emran TB. Designing of a Multi-epitope Vaccine against the Structural Proteins of Marburg Virus Exploiting the Immunoinformatics Approach. ACS OMEGA 2021; 6:32043-32071. [PMID: 34870027 PMCID: PMC8638006 DOI: 10.1021/acsomega.1c04817] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/10/2021] [Indexed: 05/08/2023]
Abstract
Marburg virus disease (MVD) caused by the Marburg virus (MARV) generally appears with flu-like symptoms and leads to severe hemorrhagic fever. It spreads via direct contact with infected individuals or animals. Despite being considered to be less threatening in terms of appearances and the number of infected patients, the high fatality rate of this pathogenic virus is a major concern. Until now, no vaccine has been developed to combat this deadly virus. Therefore, vaccination for this virus is necessary to reduce its mortality. Our current investigation focuses on the design and formulation of a multi-epitope vaccine based on the structural proteins of MARV employing immunoinformatics approaches. The screening of potential T-cell and B-cell epitopes from the seven structural proteins of MARV was carried out through specific selection parameters. Afterward, we compiled the shortlisted epitopes by attaching them to an appropriate adjuvant and linkers. Population coverage analysis, conservancy analysis, and MHC cluster analysis of the shortlisted epitopes were satisfactory. Importantly, physicochemical characteristics, human homology assessment, and structure validation of the vaccine construct delineated convenient outcomes. We implemented disulfide bond engineering to stabilize the tertiary or quaternary interactions. Furthermore, stability and physical movements of the vaccine protein were explored using normal-mode analysis. The immune simulation study of the vaccine complexes also exhibited significant results. Additionally, the protein-protein docking and molecular dynamics simulation of the final construct exhibited a higher affinity toward toll-like receptor-4 (TLR4). From simulation trajectories, multiple descriptors, namely, root mean square deviations (rmsd), radius of gyration (Rg), root mean square fluctuations (RMSF), solvent-accessible surface area (SASA), and hydrogen bonds, have been taken into account to demonstrate the inflexible and rigid nature of receptor molecules and the constructed vaccine. Inclusively, our findings suggested the vaccine constructs' ability to regulate promising immune responses against MARV pathogenesis.
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Affiliation(s)
- Saad Ahmed Sami
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Kay Kay Shain Marma
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Shafi Mahmud
- Microbiology
Laboratory, Bioinformatics Division, Department of Genetic Engineering
and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh
| | - Md. Asif Nadim Khan
- Department of Biochemistry and Molecular
Biology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh
| | - Sarah Albogami
- Department
of Biotechnology, College of Science, Taif
University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Ahmed M. El-Shehawi
- Department
of Biotechnology, College of Science, Taif
University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Ahmed Rakib
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Agnila Chakraborty
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Mostafah Mohiuddin
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary
Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122, India
| | - Mir Muhammad Nasir Uddin
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Mohammed Kamrul Hossain
- Department of Pharmacy,
Faculty of Biological Sciences, University
of Chittagong, Chittagong 4331, Bangladesh
| | - Trina Ekawati Tallei
- Department of Biology,
Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, North Sulawesi 95115, Indonesia
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
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21
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Amin MR, Yasmin F, Hosen MA, Dey S, Mahmud S, Saleh MA, Emran TB, Hasan I, Fujii Y, Yamada M, Ozeki Y, Kawsar SMA. Synthesis, Antimicrobial, Anticancer, PASS, Molecular Docking, Molecular Dynamic Simulations & Pharmacokinetic Predictions of Some Methyl β-D-Galactopyranoside Analogs. Molecules 2021; 26:7016. [PMID: 34834107 PMCID: PMC8621697 DOI: 10.3390/molecules26227016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/07/2021] [Accepted: 11/12/2021] [Indexed: 11/27/2022] Open
Abstract
A series of methyl β-D-galactopyranoside (MGP, 1) analogs were selectively acylated with cinnamoyl chloride in anhydrous N,N-dimethylformamide/triethylamine to yield 6-O-substitution products, which was subsequently converted into 2,3,4-tri-O-acyl analogs with different acyl halides. Analysis of the physicochemical, elemental, and spectroscopic data of these analogs revealed their chemical structures. In vitro antimicrobial testing against five bacteria and two fungi and the prediction of activity spectra for substances (PASS) showed promising antifungal functionality comparing to their antibacterial activities. Minimum inhibition concentration (MIC) and minimum bactericidal concentration (MBC) tests were conducted for four compounds (4, 5, 6, and 9) based on their activity. MTT assay showed low antiproliferative activity of compound 9 against Ehrlich's ascites carcinoma (EAC) cells with an IC50 value of 2961.06 µg/mL. Density functional theory (DFT) was used to calculate the thermodynamic and physicochemical properties whereas molecular docking identified potential inhibitors of the SARS-CoV-2 main protease (6Y84). A 150-ns molecular dynamics simulation study revealed the stable conformation and binding patterns in a stimulating environment. In-silico ADMET study suggested all the designed molecules to be non-carcinogenic, with low aquatic and non-aquatic toxicity. In summary, all these antimicrobial, anticancer and in silico studies revealed that newly synthesized MGP analogs possess promising antiviral activity, to serve as a therapeutic target for COVID-19.
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Affiliation(s)
- Md. Ruhul Amin
- Laboratory of Carbohydrate and Nucleoside Chemistry, Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong 4331, Bangladesh; (M.R.A.); (F.Y.); (M.A.H.)
| | - Farhana Yasmin
- Laboratory of Carbohydrate and Nucleoside Chemistry, Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong 4331, Bangladesh; (M.R.A.); (F.Y.); (M.A.H.)
| | - Mohammed Anowar Hosen
- Laboratory of Carbohydrate and Nucleoside Chemistry, Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong 4331, Bangladesh; (M.R.A.); (F.Y.); (M.A.H.)
| | - Sujan Dey
- Department of Microbiology, Faculty of Biological Science, University of Chittagong, Chittagong 4331, Bangladesh;
| | - Shafi Mahmud
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (M.A.S.)
| | - Md. Abu Saleh
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (M.A.S.)
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh;
| | - Imtiaj Hasan
- Department of Biochemistry and Molecular Biology, Faculty of Science, University of Rajshahi, Rajshahi 6205, Bangladesh;
| | - Yuki Fujii
- School of Pharmaceutical Sciences, Nagasaki International University, 2825-7, Huis Ten Bosch-cho, Sasebo, Nagasaki 859-3298, Japan;
| | - Masao Yamada
- School of Sciences, Yokohama City University, 22-2, Seto, Kanazawa-ku, Yokohama 236-0027, Japan;
| | - Yasuhiro Ozeki
- School of Sciences, Yokohama City University, 22-2, Seto, Kanazawa-ku, Yokohama 236-0027, Japan;
| | - Sarkar Mohammad Abe Kawsar
- Laboratory of Carbohydrate and Nucleoside Chemistry, Department of Chemistry, Faculty of Science, University of Chittagong, Chittagong 4331, Bangladesh; (M.R.A.); (F.Y.); (M.A.H.)
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22
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Soltan MA, Eldeen MA, Elbassiouny N, Kamel HL, Abdelraheem KM, El-Gayyed HA, Gouda AM, Sheha MF, Fayad E, Ali OAA, Ghany KAE, El-damasy DA, Darwish KM, Elhady SS, Sileem AE. In Silico Designing of a Multitope Vaccine against Rhizopus microsporus with Potential Activity against Other Mucormycosis Causing Fungi. Cells 2021; 10:3014. [PMID: 34831237 PMCID: PMC8616407 DOI: 10.3390/cells10113014] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 12/27/2022] Open
Abstract
During the current era of the COVID-19 pandemic, the dissemination of Mucorales has been reported globally, with elevated rates of infection in India, and because of the high rate of mortality and morbidity, designing an effective vaccine against mucormycosis is a major health priority, especially for immunocompromised patients. In the current study, we studied shared Mucorales proteins, which have been reported as virulence factors, and after analysis of several virulent proteins for their antigenicity and subcellular localization, we selected spore coat (CotH) and serine protease (SP) proteins as the targets of epitope mapping. The current study proposes a vaccine constructed based on top-ranking cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B cell lymphocyte (BCL) epitopes from filtered proteins. In addition to the selected epitopes, β-defensins adjuvant and PADRE peptide were included in the constructed vaccine to improve the stimulated immune response. Computational tools were used to estimate the physicochemical and immunological features of the proposed vaccine and validate its binding with TLR-2, where the output data of these assessments potentiate the probability of the constructed vaccine to stimulate a specific immune response against mucormycosis. Here, we demonstrate the approach of potential vaccine construction and assessment through computational tools, and to the best of our knowledge, this is the first study of a proposed vaccine against mucormycosis based on the immunoinformatics approach.
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Affiliation(s)
- Mohamed A. Soltan
- Department of Microbiology and Immunology, Faculty of Pharmacy, Sinai University, Ismailia 41611, Egypt;
| | - Muhammad Alaa Eldeen
- Cell Biology, Histology & Genetics Division, Zoology Department, Faculty of Science, Zagazig University, Zagazig 44519, Egypt;
| | - Nada Elbassiouny
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Sinai University, Ismailia 41611, Egypt;
| | - Hasnaa L. Kamel
- Department of Microbiology and Immunology, Faculty of Pharmacy, Sinai University, Ismailia 41611, Egypt;
| | - Kareem M. Abdelraheem
- Department of Biochemistry, Faculty of Pharmacy, Zagazig University, Zagazig 44519, Egypt; (K.M.A.); (H.A.E.-G.)
| | - Hanaa Abd El-Gayyed
- Department of Biochemistry, Faculty of Pharmacy, Zagazig University, Zagazig 44519, Egypt; (K.M.A.); (H.A.E.-G.)
| | - Ahmed M. Gouda
- Department of Pharmacy Practice, Faculty of Pharmacy, Zagazig University, Zagazig 44519, Egypt;
| | - Mohammed F. Sheha
- Department of Biochemistry, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt;
| | - Eman Fayad
- Department of Biotechnology, Faculty of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;
| | - Ola A. Abu Ali
- Department of Chemistry, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;
| | | | - Dalia A. El-damasy
- Department of Microbiology and Immunology, Faculty of Pharmacy, Egyptian Russian University, Cairo 11829, Egypt;
| | - Khaled M. Darwish
- Department of Medicinal Chemistry, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt;
| | - Sameh S. Elhady
- Department of Natural Products, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
| | - Ashraf E. Sileem
- Department of Chest Diseases, Faculty of Medicine, Zagazig University, Zagazig 44519, Egypt;
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23
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Dutta M, Tareq AM, Rakib A, Mahmud S, Sami SA, Mallick J, Islam MN, Majumder M, Uddin MZ, Alsubaie A, Almalki ASA, Khandaker MU, Bradley D, Rana MS, Emran TB. Phytochemicals from Leucas zeylanica Targeting Main Protease of SARS-CoV-2: Chemical Profiles, Molecular Docking, and Molecular Dynamics Simulations. BIOLOGY 2021; 10:789. [PMID: 34440024 PMCID: PMC8389631 DOI: 10.3390/biology10080789] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/05/2021] [Accepted: 08/15/2021] [Indexed: 02/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a contemporary coronavirus, has impacted global economic activity and has a high transmission rate. As a result of the virus's severe medical effects, developing effective vaccinations is vital. Plant-derived metabolites have been discovered as potential SARS-CoV-2 inhibitors. The SARS-CoV-2 main protease (Mpro) is a target for therapeutic research because of its highly conserved protein sequence. Gas chromatography-mass spectrometry (GC-MS) and molecular docking were used to screen 34 compounds identified from Leucas zeylanica for potential inhibitory activity against the SARS-CoV-2 Mpro. In addition, prime molecular mechanics-generalized Born surface area (MM-GBSA) was used to screen the compound dataset using a molecular dynamics simulation. From molecular docking analysis, 26 compounds were capable of interaction with the SARS-CoV-2 Mpro, while three compounds, namely 11-oxa-dispiro[4.0.4.1]undecan-1-ol (-5.755 kcal/mol), azetidin-2-one 3,3-dimethyl-4-(1-aminoethyl) (-5.39 kcal/mol), and lorazepam, 2TMS derivative (-5.246 kcal/mol), exhibited the highest docking scores. These three ligands were assessed by MM-GBSA, which revealed that they bind with the necessary Mpro amino acids in the catalytic groove to cause protein inhibition, including Ser144, Cys145, and His41. The molecular dynamics simulation confirmed the complex rigidity and stability of the docked ligand-Mpro complexes based on the analysis of mean radical variations, root-mean-square fluctuations, solvent-accessible surface area, radius of gyration, and hydrogen bond formation. The study of the postmolecular dynamics confirmation also confirmed that lorazepam, 11-oxa-dispiro[4.0.4.1]undecan-1-ol, and azetidin-2-one-3, 3-dimethyl-4-(1-aminoethyl) interact with similar Mpro binding pockets. The results of our computerized drug design approach may assist in the fight against SARS-CoV-2.
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Affiliation(s)
- Mycal Dutta
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh; (M.D.); (J.M.); (M.Z.U.)
- Department of Pharmacy, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh
| | - Abu Montakim Tareq
- Department of Pharmacy, International Islamic University Chittagong, Chittagong 4318, Bangladesh; (A.M.T.); (M.N.I.)
| | - Ahmed Rakib
- Department of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh; (A.R.); (S.A.S.)
| | - Shafi Mahmud
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh;
| | - Saad Ahmed Sami
- Department of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh; (A.R.); (S.A.S.)
| | - Jewel Mallick
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh; (M.D.); (J.M.); (M.Z.U.)
- Department of Pharmacy, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh
| | - Mohammad Nazmul Islam
- Department of Pharmacy, International Islamic University Chittagong, Chittagong 4318, Bangladesh; (A.M.T.); (M.N.I.)
| | - Mohuya Majumder
- Drug Discovery, GUSTO A Research Group, Chittagong 4203, Bangladesh;
| | - Md. Zia Uddin
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh; (M.D.); (J.M.); (M.Z.U.)
- Department of Pharmacy, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh
| | - Abdullah Alsubaie
- Department of Physics, College of Khurma, Taif University, Taif 21944, Saudi Arabia;
| | | | - Mayeen Uddin Khandaker
- Centre for Applied Physics and Radiation Technologies, School of Engineering and Technology, Sunway University, Bandar Sunway 47500, Malaysia; (M.U.K.); (D.A.B.)
| | - D.A. Bradley
- Centre for Applied Physics and Radiation Technologies, School of Engineering and Technology, Sunway University, Bandar Sunway 47500, Malaysia; (M.U.K.); (D.A.B.)
- Department of Physics, University of Surrey, Guilford GU2 7XH, UK
| | - Md. Sohel Rana
- Department of Pharmacy, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh; (M.D.); (J.M.); (M.Z.U.)
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24
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Saba AA, Adiba M, Saha P, Hosen MI, Chakraborty S, Nabi AHMN. An in-depth in silico and immunoinformatics approach for designing a potential multi-epitope construct for the effective development of vaccine to combat against SARS-CoV-2 encompassing variants of concern and interest. Comput Biol Med 2021; 136:104703. [PMID: 34352457 PMCID: PMC8321692 DOI: 10.1016/j.compbiomed.2021.104703] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 07/25/2021] [Accepted: 07/26/2021] [Indexed: 11/03/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the latest of the several viral pathogens that have acted as a threat to human health around the world. Thus, to prevent COVID-19 and control the outbreak, the development of vaccines against SARS-CoV-2 is one of the most important strategies at present. The study aimed to design a multi-epitope vaccine (MEV) against SARS-CoV-2. For the development of a more effective vaccine, 1549 nucleotide sequences were taken into consideration, including the variants of concern (B.1.1.7, B.1.351, P.1 and, B.1.617.2) and variants of interest (B.1.427, B.1.429, B.1.526, B.1.617.1 and P.2). A total of 11 SARS-CoV-2 proteins (S, N, E, M, ORF1ab polyprotein, ORF3a, ORF6, ORF7a, ORF7b, ORF8, ORF10) were targeted for T-cell epitope prediction and S protein was targeted for B-cell epitope prediction. MEV was constructed using linkers and adjuvant beta-defensin. The vaccine construct was verified, based on its antigenicity, physicochemical properties, and its binding potential, with toll-like receptors (TLR2, TLR4), ACE2 receptor and B cell receptor. The selected vaccine construct showed considerable binding with all the receptors and a significant immune response, including elevated antibody titer and B cell population along with augmented activity of TH cells, Tc cells and NK cells. Thus, immunoinformatics and in silico-based approaches were used for constructing MEV which is capable of eliciting both innate and adaptive immunity. In conclusion, the vaccine construct developed in this study has all the potential for the development of a next-generation vaccine which may in turn effectively combat the new variants of SARS-CoV-2 identified so far. However, in vitro and animal studies are warranted to justify our findings for its utility as probable preventive measure.
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Affiliation(s)
- Abdullah Al Saba
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh
| | - Maisha Adiba
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh
| | - Piyal Saha
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh
| | - Md Ismail Hosen
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh
| | - Sajib Chakraborty
- Molecular Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh
| | - A H M Nurun Nabi
- Laboratory of Population Genetics, Department of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
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25
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Mahmud S, Biswas S, Paul GK, Mita MA, Promi MM, Afrose S, Hasan MR, Zaman S, Uddin MS, Dhama K, Emran TB, Saleh MA, Simal-Gandara J. Plant-Based Phytochemical Screening by Targeting Main Protease of SARS-CoV-2 to Design Effective Potent Inhibitors. BIOLOGY 2021; 10:589. [PMID: 34206970 PMCID: PMC8301192 DOI: 10.3390/biology10070589] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/18/2021] [Accepted: 06/22/2021] [Indexed: 02/07/2023]
Abstract
Currently, a worldwide pandemic has been declared in response to the spread of coronavirus disease 2019 (COVID-19), a fatal and fast-spreading viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The low availability of efficient vaccines and treatment options has resulted in a high mortality rate, bringing the world economy to its knees. Thus, mechanistic investigations of drugs capable of counteracting this disease are in high demand. The main protease (Mpro) expressed by SARS-CoV-2 has been targeted for the development of potential drug candidates due to the crucial role played by Mpro in viral replication and transcription. We generated a phytochemical library containing 1672 phytochemicals derived from 56 plants, which have been reported as having antiviral, antibacterial, and antifungal activity. A molecular docking program was used to screen the top three candidate compounds: epicatechin-3-O-gallate, psi-taraxasterol, and catechin gallate, which had respective binding affinities of -8.4, -8.5, and -8.8 kcal/mol. Several active sites in the targeted protein, including Cys145, His41, Met49, Glu66, and Met165, were found to interact with the top three candidate compounds. The multiple simulation profile, root-mean-square deviation, root-mean-square fluctuation, radius of gyration, and solvent-accessible surface area values supported the inflexible nature of the docked protein-compound complexes. The toxicity and carcinogenicity profiles were assessed, which showed that epicatechin-3-O-gallate, psi-taraxasterol, and catechin gallate had favorable pharmacological properties with no adverse effects. These findings suggest that these compounds could be developed as part of an effective drug development pathway to treat COVID-19.
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Affiliation(s)
- Shafi Mahmud
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (G.K.P.); (S.Z.); (M.S.U.)
| | - Suvro Biswas
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.B.); (M.A.M.); (M.M.P.); (S.A.); (M.R.H.)
| | - Gobindo Kumar Paul
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (G.K.P.); (S.Z.); (M.S.U.)
| | - Mohasana Akter Mita
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.B.); (M.A.M.); (M.M.P.); (S.A.); (M.R.H.)
| | - Maria Meha Promi
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.B.); (M.A.M.); (M.M.P.); (S.A.); (M.R.H.)
| | - Shamima Afrose
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.B.); (M.A.M.); (M.M.P.); (S.A.); (M.R.H.)
| | - Md. Robiul Hasan
- Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.B.); (M.A.M.); (M.M.P.); (S.A.); (M.R.H.)
| | - Shahriar Zaman
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (G.K.P.); (S.Z.); (M.S.U.)
| | - Md. Salah Uddin
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (G.K.P.); (S.Z.); (M.S.U.)
| | - Kuldeep Dhama
- Division of Pathology, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India;
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
| | - Md. Abu Saleh
- Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh; (S.M.); (G.K.P.); (S.Z.); (M.S.U.)
| | - Jesus Simal-Gandara
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo–Ourense Campus, E32004 Ourense, Spain
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Uzzaman M, Hasan MK, Mahmud S, Yousuf A, Islam S, Uddin MN, Barua A. Physicochemical, spectral, molecular docking and ADMET studies of Bisphenol analogues; A computational approach. INFORMATICS IN MEDICINE UNLOCKED 2021. [DOI: 10.1016/j.imu.2021.100706] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
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