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Pahlavan Y, Yeganeh O, Asghariazar V, Karami C. Multi-epitope vaccine against SARS-CoV-2 targeting the spike RBD: an immunoinformatics approach. Future Sci OA 2024; 10:FSO939. [PMID: 38827807 PMCID: PMC11140640 DOI: 10.2144/fsoa-2023-0081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/07/2023] [Indexed: 06/05/2024] Open
Abstract
Aim: We designed a SARS-CoV-2 epitope vaccine based on the receptor-binding domain (RBD) in virus spike protein. Methods: RT-PCR performed on nasopharyngeal swab COVID-19 patients. After registering RBD region in the GenBank, physicochemical parameters, secondary structure, homology modeling, 3D structure of RBD region and antigenicity were determined using ProtParam ExPASy, PSIPRED, MolProbity, IEDB and Vaxijen online tools, respectively. Results: B and T cell epitopes were predicted in terms of non-allergenicity and antigenicity. MolProbity analysis provided a qualitative model for RBD. The homology model showed that most of the residues are in optimal district of energy. Conclusion: High immunogenicity score of epitopes indicates promising candidates for the development of multi-epitope vaccines. It may help to develop an effective vaccine.
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Affiliation(s)
- Yasamin Pahlavan
- Biosensor Sciences and Technologies Research Center, Ardabil University of Medical Sciences, Ardabil, 56189-85991, Iran
| | - Omid Yeganeh
- Department of Microbiology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, 16511-53311, Iran
| | - Vahid Asghariazar
- Cancer Immunology and Immunotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, 56189-85991, Iran
| | - Chiman Karami
- Department of Microbiology, Parasitology and Immunology, Ardabil University of Medical Sciences, Ardabil, 56189-85991, Iran
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2
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Shaheen T, Rehman A, Abeed AHA, Waqas M, Aslam A, Azeem F, Qasim M, Afzal M, Azhar MF, Attia KA, Abushady AM, Ercisli S, Nahid N. Identification and expression analysis of SBP-Box-like ( SPL) gene family disclose their contribution to abiotic stress and flower budding in pigeon pea ( Cajanus cajan). FUNCTIONAL PLANT BIOLOGY : FPB 2024; 51:FP23237. [PMID: 38354689 DOI: 10.1071/fp23237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/25/2023] [Indexed: 02/16/2024]
Abstract
The SPL gene family (for Squamosa Promoter-binding like Proteins) represents specific transcription factors that have significant roles in abiotic stress tolerance, development and the growth processes of different plants, including initiation of the leaf, branching and development of shoot and fruits. The SPL gene family has been studied in different plant species; however, its role is not yet fully explored in pigeon pea (Cajanus cajan ). In the present study, 11 members of the CcSPL gene family were identified in C. cajan . The identified SPLs were classified into nine groups based on a phylogenetic analysis involving SPL protein sequences from C. cajan , Arabidopsis thaliana , Cicer arietinum , Glycine max , Phaseolus vulgaris , Vigna unguiculata and Arachis hypogaea . Further, the identification of gene structure, motif analysis, domain analysis and presence of cis -regulatory elements in the SPL family members were studied. Based on RNA-sequencing data, gene expression analysis was performed, revealing that CcSPL2.1, 3 and 13A were significantly upregulated for salt-tolerance and CcSPL14 and 15 were upregulated in a salt-susceptible cultivar. Real-time qPCR validation indicated that CcSPL3, 4, 6 and 13A were upregulated under salt stress conditions. Therefore, molecular docking was performed against the proteins of two highly expressed genes (CcSPL3 and CcSPL14 ) with three ligands: abscisic acid, gibberellic acid and indole-3-acetic acid. Afterward, their binding affinity was obtained and three-dimensional structures were predicted. In the future, our study may open avenues for harnessing CcSPL genes in pigeon pea for enhanced abiotic stress resistance and developmental traits.
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Affiliation(s)
- Tayyaba Shaheen
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Abdul Rehman
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Amany H A Abeed
- Department of Botany and Microbiology, Faculty of Science, Assiut University, Assiut 71516, Egypt
| | - Muhammad Waqas
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Asad Aslam
- Key Laboratory for Sustainable Forest Ecosystem Management - Ministry of Education, College of Forestry, Northeast Forestry University, Harbin 150040, China
| | - Farrukh Azeem
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Muhammad Qasim
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Muhammad Afzal
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
| | - Muhammad Farooq Azhar
- Department of Forestry and Range Management, Faculty of Agricultural Sciences and Technology, Bahauddin Zakaria University, Multan 60800, Pakistan
| | - Kotb A Attia
- Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, Riyadh 11451, Saudi Arabia
| | - Asmaa M Abushady
- Biotechnology School, Nile University, 26th July Corridor, Sheikh Zayed City, Giza 12588, Egypt; and Department of Genetics, Agriculture College, Ain Shams University, Cairo, Egypt
| | - Sezai Ercisli
- Department of Horticulture, Faculty of Agriculture, Ataturk University, Erzurum 25240, Turkey
| | - Nazia Nahid
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan
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3
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Vincenzi M, Mercurio FA, Leone M. Virtual Screening of Peptide Libraries: The Search for Peptide-Based Therapeutics Using Computational Tools. Int J Mol Sci 2024; 25:1798. [PMID: 38339078 PMCID: PMC10855943 DOI: 10.3390/ijms25031798] [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: 12/22/2023] [Revised: 01/26/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Over the last few decades, we have witnessed growing interest from both academic and industrial laboratories in peptides as possible therapeutics. Bioactive peptides have a high potential to treat various diseases with specificity and biological safety. Compared to small molecules, peptides represent better candidates as inhibitors (or general modulators) of key protein-protein interactions. In fact, undruggable proteins containing large and smooth surfaces can be more easily targeted with the conformational plasticity of peptides. The discovery of bioactive peptides, working against disease-relevant protein targets, generally requires the high-throughput screening of large libraries, and in silico approaches are highly exploited for their low-cost incidence and efficiency. The present review reports on the potential challenges linked to the employment of peptides as therapeutics and describes computational approaches, mainly structure-based virtual screening (SBVS), to support the identification of novel peptides for therapeutic implementations. Cutting-edge SBVS strategies are reviewed along with examples of applications focused on diverse classes of bioactive peptides (i.e., anticancer, antimicrobial/antiviral peptides, peptides blocking amyloid fiber formation).
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Affiliation(s)
| | | | - Marilisa Leone
- Institute of Biostructures and Bioimaging, Via Pietro Castellino 111, 80131 Naples, Italy; (M.V.); (F.A.M.)
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4
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Arfat Y, Zafar I, Sehgal SA, Ayaz M, Sajid M, Khan JM, Ahsan M, Rather MA, Khan AA, Alshehri JM, Akash S, Nepovimova E, Kuca K, Sharma R. In silico designing of multiepitope-based-peptide (MBP) vaccine against MAPK protein express for Alzheimer's disease in Zebrafish. Heliyon 2023; 9:e22204. [PMID: 38058625 PMCID: PMC10695983 DOI: 10.1016/j.heliyon.2023.e22204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 10/24/2023] [Accepted: 11/06/2023] [Indexed: 12/08/2023] Open
Abstract
Understanding the role of the mitogen-activated protein kinases (MAPKs) signalling pathway is essential in advancing treatments for neurodegenerative disorders like Alzheimer's. In this study, we investigate in-silico techniques involving computer-based methods to extract the MAPK1 sequence. Our applied methods enable us to analyze the protein's structure, evaluate its properties, establish its evolutionary relationships, and assess its prevalence in populations. We also predict epitopes, assess their ability to trigger immune responses, and check for allergenicity using advanced computational tools to understand their immunological properties comprehensively. We apply virtual screening, docking, and structure modelling to identify promising drug candidates, analyze their interactions, and enhance drug design processes. We identified a total of 30 cell-targeting molecules against the MAPK1 protein, where we selected top 10 CTL epitopes (PAGGGPNPG, GGGPNPGSG, SAPAGGGPN, AVSAPAGGG, AGGGPNPGS, ATAAVSAPA, TAAVSAPAG, ENIIGINDI, INDIIRTPT, and NDIIRTPTI) for further evaluation to determine their potential efficacy, safety, and suitability for vaccine design based on strong binding potential. The potential to cover a large portion of the world's population with these vaccines is substantial-88.5 % for one type and 99.99 % for another. In exploring the molecular docking analyses, we examined a library of compounds from the ZINC database. Among them, we identified twelve compounds with the lowest binding energy. Critical residues in the MAPK1 protein, such as VAL48, LYS63, CYS175, ASP176, LYS160, ALA61, LEU165, TYR45, SER162, ARG33, PRO365, PHE363, ILE40, ASN163, and GLU42, are pivotal for interactions with these compounds. Our result suggests that these compounds could influence the protein's behaviour. Moreover, our docking analyses revealed that the predicted peptides have a strong affinity for the MAPK1 protein. These peptides form stable complexes, indicating their potential as potent inhibitors. This study contributes to the identification of new drug compounds and the screening of their desired properties. These compounds could potentially help reduce the excessive activity of MAPK1, which is linked to Alzheimer's disease.
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Affiliation(s)
- Yasir Arfat
- Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, 56300, Pakistan
| | - Imran Zafar
- Department of Bioinformatics and Computational Biology, Virtual University, Punjab, 54700, Pakistan
| | - Sheikh Arslan Sehgal
- Department of Bioinformatics, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Mazhar Ayaz
- Department of Parasitology, Faculty of Veterinary Science, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan
| | - Muhammad Sajid
- Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, 56300, Pakistan
| | - Jamal Muhammad Khan
- Department of Parasitology, Faculty of Veterinary Science, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan
| | - Muhammad Ahsan
- Department of Environmental Sciences, Institute of Environmental and Agricultural Sciences, University of Okara, Okara, 56300, Pakistan
| | - Mohd Ashraf Rather
- Division of Fish Genetics and Biotechnology, Faculty of Fisheries, Rangil- Gandarbal (SKAUST-K), India
| | - Azmat Ali Khan
- Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Jamilah M. Alshehri
- Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Shopnil Akash
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International, University, Dhaka, Bangladesh
| | - Eugenie Nepovimova
- Department of Chemistry, Faculty of Science, University of Hradec Králové, Hradec Králové, 50 003, Czech Republic
| | - Kamil Kuca
- Department of Chemistry, Faculty of Science, University of Hradec Králové, Hradec Králové, 50 003, Czech Republic
- Biomedical Research Center, University Hospital Hradec Kralove, 50005, Hradec Kralove, Czech Republic
| | - Rohit Sharma
- Department of Rasashastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
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5
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Verma J, Kaushal N, Manish M, Subbarao N, Shakirova V, Martynova E, Liu R, Hamza S, Rizvanov AA, Khaiboullina SF, Baranwal M. Identification of conserved immunogenic peptides of SARS-CoV-2 nucleocapsid protein. J Biomol Struct Dyn 2023:1-17. [PMID: 37750540 DOI: 10.1080/07391102.2023.2260484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 09/13/2023] [Indexed: 09/27/2023]
Abstract
The emergence of the new SARS-CoV-2 variants has led to major concern regarding the efficacy of approved vaccines. Nucleocapsid is a conserved structural protein essential for replication of the virus. This study focuses on identifying conserved epitopes on the nucleocapsid (N) protein of SARS-CoV-2. Using 510 unique amino acid sequences of SARS-CoV-2 N protein, two peptides (193 and 215 aa) with 90% conservancy were selected for T cell epitope prediction. Three immunogenic peptides containing multiple T cell epitopes were identified which were devoid of autoimmune and allergic immune response. These peptides were also conserved (100%) in recent Omicron variants reported in Jan-August 2023. HLA analysis reveals that these peptides are predicted as binding to large number of HLA alleles and 71-90% population coverage in six continents. Identified peptides displayed good binding score with both HLA class I and HLA class II molecules in the docking study. Also, a vaccine construct docked with TLR-4 receptor displays strong interaction with 20 hydrogen bonds and molecular simulation analysis reveals that docked complex are stable. Additionally, the immunogenicity of these N protein peptides was confirmed using SARS-CoV-2 convalescent serum samples. We conclude that the identified N protein peptides contain highly conserved and antigenic epitopes which could be used as a target for the future vaccine development against SARS-CoV-2.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Jigyasa Verma
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Neha Kaushal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Manish Manish
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Naidu Subbarao
- School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Venera Shakirova
- Department of Infectious Diseases, Kazan State Medical Academy, Kazan, Russia
| | - Ekaterina Martynova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Rongzeng Liu
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Shaimaa Hamza
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Albert A Rizvanov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | | | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
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6
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Firdoos S, Dai R, Tahir RA, Khan ZY, Li H, Zhang J, Ni J, Quan Z, Qing H. In silico identification of novel stilbenes analogs for potential multi-targeted drugs against Alzheimer's disease. J Mol Model 2023; 29:209. [PMID: 37314512 DOI: 10.1007/s00894-023-05609-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 05/27/2023] [Indexed: 06/15/2023]
Abstract
CONTEXT Alzheimer's disease (AD) is a chronic progressive neurodegenerative syndrome, which adversely disturbs cognitive abilities as well as intellectual processes and frequently occurs in the elderly. Inhibition of cholinesterase is a valuable approach to upsurge acetylcholine concentrations in the brain and persuades the development of multi-targeted ligands against cholinesterases. METHODS The current study aims to determine the binding potential accompanied by antioxidant and anti-inflammatory activities of stilbenes-designed analogs against both cholinesterases (Acetylcholinesterase and butyrylcholinesterase) and neurotrophin targets for effective AD therapeutics. Docking results have shown that the WS6 compound exhibited the least binding energy - 10.1 kcal/mol with Acetylcholinesterase and - 7.8 kcal/mol with butyrylcholinesterase. The WS6 also showed a better binding potential with neurotrophin targets that are Brain-derived Neurotrophic Factor, Neurotrophin 4, Nerve Growth Factor, and Neurotrophin 3. The tested compounds particularly WS6 revealed significant antioxidant and anti-inflammatory activities through the comparative docking analysis with Fluorouracil and Melatonin as control drugs of antioxidants while Celecoxib and Anakinra as anti-inflammatory. The bioinformatics approaches including molecular docking calculations followed by the pharmacokinetics analysis and molecular dynamic simulations were accomplished to explore the capabilities of designed stilbenes as effective and potential leads. Root mean square deviation, root mean square fluctuations, and MM-GBSA calculations were performed through molecular dynamic simulations to extract the structural and residual variations and binding free energies through the 50-ns time scale.
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Affiliation(s)
- Sundas Firdoos
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, Beijing Institute of Technology (BIT), Beijing, 100081, People's Republic of China.
| | - Rongji Dai
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, Beijing Institute of Technology (BIT), Beijing, 100081, People's Republic of China.
| | - Rana Adnan Tahir
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Muzaffarabad, Pakistan
| | - Zahid Younas Khan
- Department of Computer Science and IT, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan
| | - Hui Li
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Jun Zhang
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Junjun Ni
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Zhenzhen Quan
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Hong Qing
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
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7
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Marriam S, Afghan MS, Nadeem M, Sajid M, Ahsan M, Basit A, Wajid M, Sabri S, Sajid M, Zafar I, Rashid S, Sehgal SA, Alkhalifah DHM, Hozzein WN, Chen KT, Sharma R. Elucidation of novel compounds and epitope-based peptide vaccine design against C30 endopeptidase regions of SARS-CoV-2 using immunoinformatics approaches. Front Cell Infect Microbiol 2023; 13:1134802. [PMID: 37293206 PMCID: PMC10244718 DOI: 10.3389/fcimb.2023.1134802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 04/29/2023] [Indexed: 06/10/2023] Open
Abstract
There has been progressive improvement in immunoinformatics approaches for epitope-based peptide design. Computational-based immune-informatics approaches were applied to identify the epitopes of SARS-CoV-2 to develop vaccines. The accessibility of the SARS-CoV-2 protein surface was analyzed, and hexa-peptide sequences (KTPKYK) were observed having a maximum score of 8.254, located between amino acids 97 and 102, whereas the FSVLAC at amino acids 112 to 117 showed the lowest score of 0.114. The surface flexibility of the target protein ranged from 0.864 to 1.099 having amino acid ranges of 159 to 165 and 118 to 124, respectively, harboring the FCYMHHM and YNGSPSG hepta-peptide sequences. The surface flexibility was predicted, and a 0.864 score was observed from amino acids 159 to 165 with the hepta-peptide (FCYMHHM) sequence. Moreover, the highest score of 1.099 was observed between amino acids 118 and 124 against YNGSPSG. B-cell epitopes and cytotoxic T-lymphocyte (CTL) epitopes were also identified against SARS-CoV-2. In molecular docking analyses, -0.54 to -26.21 kcal/mol global energy was observed against the selected CTL epitopes, exhibiting binding solid energies of -3.33 to -26.36 kcal/mol. Based on optimization, eight epitopes (SEDMLNPNY, GSVGFNIDY, LLEDEFTPF, DYDCVSFCY, GTDLEGNFY, QTFSVLACY, TVNVLAWLY, and TANPKTPKY) showed reliable findings. The study calculated the associated HLA alleles with MHC-I and MHC-II and found that MHC-I epitopes had higher population coverage (0.9019% and 0.5639%) than MHC-II epitopes, which ranged from 58.49% to 34.71% in Italy and China, respectively. The CTL epitopes were docked with antigenic sites and analyzed with MHC-I HLA protein. In addition, virtual screening was conducted using the ZINC database library, which contained 3,447 compounds. The 10 top-ranked scrutinized molecules (ZINC222731806, ZINC077293241, ZINC014880001, ZINC003830427, ZINC030731133, ZINC003932831, ZINC003816514, ZINC004245650, ZINC000057255, and ZINC011592639) exhibited the least binding energy (-8.8 to -7.5 kcal/mol). The molecular dynamics (MD) and immune simulation data suggest that these epitopes could be used to design an effective SARS-CoV-2 vaccine in the form of a peptide-based vaccine. Our identified CTL epitopes have the potential to inhibit SARS-CoV-2 replication.
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Affiliation(s)
- Saigha Marriam
- Department of Microbiology and Molecular Genetics, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Muhammad Sher Afghan
- Department of Ear, Nose, and Throat (ENT), District Headquarter (DHQ) Teaching Hospital Faisalabad, Faisalabad, Punjab, Pakistan
| | - Mazhar Nadeem
- Department of Ear, Nose, and Throat (ENT), District Headquarter (DHQ) Teaching Hospital Faisalabad, Faisalabad, Punjab, Pakistan
| | - Muhammad Sajid
- Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Muhammad Ahsan
- Institute of Environmental and Agricultural Sciences, University of Okara, Okara, Pakistan
| | - Abdul Basit
- Department of Microbiology, University of Jhang, Jhang, Pakistan
| | - Muhammad Wajid
- Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Sabeen Sabri
- Department of Microbiology and Molecular Genetics, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Muhammad Sajid
- Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Imran Zafar
- Department of Bioinformatics and Computational Biology, Virtual University, Punjab, Pakistan
| | - Summya Rashid
- Department of Pharmacology and Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Sheikh Arslan Sehgal
- Department of Bioinformatics, Faculty of Life Sciences, University of Okara, Okara, Pakistan
- Department of Bioinformatics, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Dalal Hussien M Alkhalifah
- Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Wael N Hozzein
- Botany and Microbiology Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt
| | - Kow-Tong Chen
- Department of Occupational Medicine, Tainan Municipal Hospital (managed by ShowChwan Medical Care Corporation), Tainan, Taiwan
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
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8
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Salod Z, Mahomed O. Mapping Potential Vaccine Candidates Predicted by VaxiJen for Different Viral Pathogens between 2017-2021-A Scoping Review. Vaccines (Basel) 2022; 10:1785. [PMID: 36366294 PMCID: PMC9695814 DOI: 10.3390/vaccines10111785] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/16/2022] [Accepted: 10/18/2022] [Indexed: 09/29/2023] Open
Abstract
Reverse vaccinology (RV) is a promising alternative to traditional vaccinology. RV focuses on in silico methods to identify antigens or potential vaccine candidates (PVCs) from a pathogen's proteome. Researchers use VaxiJen, the most well-known RV tool, to predict PVCs for various pathogens. The purpose of this scoping review is to provide an overview of PVCs predicted by VaxiJen for different viruses between 2017 and 2021 using Arksey and O'Malley's framework and the Preferred Reporting Items for Systematic Reviews extension for Scoping Reviews (PRISMA-ScR) guidelines. We used the term 'vaxijen' to search PubMed, Scopus, Web of Science, EBSCOhost, and ProQuest One Academic. The protocol was registered at the Open Science Framework (OSF). We identified articles on this topic, charted them, and discussed the key findings. The database searches yielded 1033 articles, of which 275 were eligible. Most studies focused on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), published between 2020 and 2021. Only a few articles (8/275; 2.9%) conducted experimental validations to confirm the predictions as vaccine candidates, with 2.2% (6/275) articles mentioning recombinant protein expression. Researchers commonly targeted parts of the SARS-CoV-2 spike (S) protein, with the frequently predicted epitopes as PVCs being major histocompatibility complex (MHC) class I T cell epitopes WTAGAAAYY, RQIAPGQTG, IAIVMVTIM, and B cell epitope IAPGQTGKIADY, among others. The findings of this review are promising for the development of novel vaccines. We recommend that vaccinologists use these findings as a guide to performing experimental validation for various viruses, with SARS-CoV-2 as a priority, because better vaccines are needed, especially to stay ahead of the emergence of new variants. If successful, these vaccines could provide broader protection than traditional vaccines.
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Affiliation(s)
- Zakia Salod
- Discipline of Public Health Medicine, University of KwaZulu-Natal, Durban 4051, South Africa
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9
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Kumar S, Dutta D, Ravichandiran V, Sukla S. Monoclonal antibodies: a remedial approach to prevent SARS-CoV-2 infection. 3 Biotech 2022; 12:227. [PMID: 35982759 PMCID: PMC9383686 DOI: 10.1007/s13205-022-03281-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 07/26/2022] [Indexed: 11/07/2022] Open
Abstract
SARS-CoV-2, the newly emerged virus of the Coronaviridae family is causing havoc worldwide. The novel coronavirus 2019 was first reported in Wuhan, China marked as the third highly infectious pathogenic virus of the twenty-first century. The typical manifestations of COVID-19 include cough, sore throat, fever, fatigue, loss of sense of taste and difficulties in breathing. Large numbers of SARS-CoV-2 infected patients have mild to moderate symptoms, however severe and life-threatening cases occur in about 5-10% of infections with an approximately 2% mortality rate. For the treatment of SARS-CoV-2, the use of neutralizing monoclonal antibodies (mAbs) could be one approach. The receptor binding domain (RBD) and N-terminal domain (NTD) situated on the peak of the spike protein (S-Protein) of SARS-CoV-2 are immunogenic in nature, therefore, can be targeted by neutralizing monoclonal antibodies. Several bioinformatics approaches highlight the identification of novel SARS-CoV-2 epitopes which can be targeted for the development of COVID-19 therapeutics. Here we present a summary of neutralizing mAbs isolated from COVID-19 infected patients which are anticipated to be a better therapeutic alternative against SARS-CoV-2. However, provided the vast escalation of the disease worldwide affecting people from all strata, affording expensive mAb therapy will not be feasible. Hence other strategies are also being employed to find suitable vaccine candidates and antivirals against SARS-CoV-2 that can be made easily available to the population.
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Affiliation(s)
- Sonu Kumar
- Department of Pharmacology and Toxicology, National Institute of Pharmaceuticals Education and Research, 168, Maniktala Main Road, Kolkata, 700054 West Bengal India
| | - Debrupa Dutta
- Department of Pharmacology and Toxicology, National Institute of Pharmaceuticals Education and Research, 168, Maniktala Main Road, Kolkata, 700054 West Bengal India
| | - Velayutham Ravichandiran
- Department of Natural Products, National Institute of Pharmaceuticals Education and Research, 168, Maniktala Main Road, Kolkata, 700054 West Bengal India
| | - Soumi Sukla
- Department of Pharmacology and Toxicology, National Institute of Pharmaceuticals Education and Research, 168, Maniktala Main Road, Kolkata, 700054 West Bengal India
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10
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Kumar S, Kumar GS, Maitra SS, Malý P, Bharadwaj S, Sharma P, Dwivedi VD. Viral informatics: bioinformatics-based solution for managing viral infections. Brief Bioinform 2022; 23:6659740. [PMID: 35947964 DOI: 10.1093/bib/bbac326] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/26/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Several new viral infections have emerged in the human population and establishing as global pandemics. With advancements in translation research, the scientific community has developed potential therapeutics to eradicate or control certain viral infections, such as smallpox and polio, responsible for billions of disabilities and deaths in the past. Unfortunately, some viral infections, such as dengue virus (DENV) and human immunodeficiency virus-1 (HIV-1), are still prevailing due to a lack of specific therapeutics, while new pathogenic viral strains or variants are emerging because of high genetic recombination or cross-species transmission. Consequently, to combat the emerging viral infections, bioinformatics-based potential strategies have been developed for viral characterization and developing new effective therapeutics for their eradication or management. This review attempts to provide a single platform for the available wide range of bioinformatics-based approaches, including bioinformatics methods for the identification and management of emerging or evolved viral strains, genome analysis concerning the pathogenicity and epidemiological analysis, computational methods for designing the viral therapeutics, and consolidated information in the form of databases against the known pathogenic viruses. This enriched review of the generally applicable viral informatics approaches aims to provide an overview of available resources capable of carrying out the desired task and may be utilized to expand additional strategies to improve the quality of translation viral informatics research.
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Affiliation(s)
- Sanjay Kumar
- School of Biotechnology, Jawaharlal Nehru University, New Delhi, India.,Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India
| | - Geethu S Kumar
- Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, Uttar Pradesh, India.,Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India
| | | | - Petr Malý
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center, Vestec, Czech Republic
| | - Shiv Bharadwaj
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center, Vestec, Czech Republic
| | - Pradeep Sharma
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Vivek Dhar Dwivedi
- Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India.,Institute of Advanced Materials, IAAM, 59053 Ulrika, Sweden
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11
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Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022; 122:11287-11368. [PMID: 35594413 PMCID: PMC9159519 DOI: 10.1021/acs.chemrev.1c00965] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Despite tremendous efforts in the past two years, our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus-host interactions, immune response, virulence, transmission, and evolution is still very limited. This limitation calls for further in-depth investigation. Computational studies have become an indispensable component in combating coronavirus disease 2019 (COVID-19) due to their low cost, their efficiency, and the fact that they are free from safety and ethical constraints. Additionally, the mechanism that governs the global evolution and transmission of SARS-CoV-2 cannot be revealed from individual experiments and was discovered by integrating genotyping of massive viral sequences, biophysical modeling of protein-protein interactions, deep mutational data, deep learning, and advanced mathematics. There exists a tsunami of literature on the molecular modeling, simulations, and predictions of SARS-CoV-2 and related developments of drugs, vaccines, antibodies, and diagnostics. To provide readers with a quick update about this literature, we present a comprehensive and systematic methodology-centered review. Aspects such as molecular biophysics, bioinformatics, cheminformatics, machine learning, and mathematics are discussed. This review will be beneficial to researchers who are looking for ways to contribute to SARS-CoV-2 studies and those who are interested in the status of the field.
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Affiliation(s)
- Kaifu Gao
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Rui Wang
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Jiahui Chen
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Limei Cheng
- Clinical
Pharmacology and Pharmacometrics, Bristol
Myers Squibb, Princeton, New Jersey 08536, United States
| | - Jaclyn Frishcosy
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuta Huzumi
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuchi Qiu
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Tom Schluckbier
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Xiaoqi Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Guo-Wei Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
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12
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Bellamkonda N, Lambe UP, Sawant S, Nandi SS, Chakraborty C, Shukla D. Immune Response to SARS-CoV-2 Vaccines. Biomedicines 2022; 10:1464. [PMID: 35884770 PMCID: PMC9312515 DOI: 10.3390/biomedicines10071464] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/27/2022] [Accepted: 05/30/2022] [Indexed: 12/21/2022] Open
Abstract
COVID-19 vaccines have been developed to confer immunity against the SARS-CoV-2 infection. Prior to the pandemic of COVID-19 which started in March 2020, there was a well-established understanding about the structure and pathogenesis of previously known Coronaviruses from the SARS and MERS outbreaks. In addition to this, vaccines for various Coronaviruses were available for veterinary use. This knowledge supported the creation of various vaccine platforms for SARS-CoV-2. Before COVID-19 there are no reports of a vaccine being developed in under a year and no vaccine for preventing coronavirus infection in humans had ever been developed. Approximately nine different technologies are being researched and developed at various levels in order to design an effective COVID-19 vaccine. As the spike protein of SARS-CoV-2 is responsible for generating substantial adaptive immune response, mostly all the vaccine candidates have been targeting the whole spike protein or epitopes of spike protein as a vaccine candidate. In this review, we have compiled the immune response to SARS-CoV-2 infection and followed by the mechanism of action of various vaccine platforms such as mRNA vaccines, Adenoviral vectored vaccine, inactivated virus vaccines and subunit vaccines in the market. In the end we have also summarized the various adjuvants used in the COVID-19 vaccine formulation.
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Affiliation(s)
- Navya Bellamkonda
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA;
| | | | - Sonali Sawant
- ICMR-NIV, Mumbai Unit, A. D. Road, Parel, Mumbai 400012, India; (U.P.L.); (S.S.)
| | - Shyam Sundar Nandi
- ICMR-NIV, Mumbai Unit, A. D. Road, Parel, Mumbai 400012, India; (U.P.L.); (S.S.)
| | | | - Deepak Shukla
- Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, IL 60612, USA
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13
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Mekonnen D, Mengist HM, Jin T. SARS-CoV-2 subunit vaccine adjuvants and their signaling pathways. Expert Rev Vaccines 2022; 21:69-81. [PMID: 34633259 PMCID: PMC8567292 DOI: 10.1080/14760584.2021.1991794] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 10/07/2021] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Vaccines are the agreed upon weapon against the COVID-19 pandemic. This review discusses about COVID-19 subunit vaccines adjuvants and their signaling pathways, which could provide a glimpse into the selection of appropriate adjuvants for prospective vaccine development studies. AREAS COVERED In the introduction, a brief background about the SARS-CoV-2 pandemic, the vaccine development race and classes of vaccine adjuvants were provided. . The antigen, trial stage, and types of adjuvants were extracted from the included articles and thun assimilated. Finally, the pattern recognition receptors (PRRs), their classes, cognate adjuvants, and potential signaling pathways were comprehended. EXPERT OPINION Adjuvants are unsung heroes of subunit vaccines. The in silico studies are very vital in avoiding several costly trial errors and save much work times. The majority of the (pre)clinical studies are promising. It is encouraging that most of the selected adjuvants are novel. Much emphasis must be paid to the optimal paring of antigen-adjuvant-PRRs for obtaining the desired vaccine effect. A good subunit vaccine/adjuvant is one that has high efficacy, safety, dose sparing, and rapid seroconversion rate and broad spectrum of immune response. In the years to come, COVID-19 adjuvanted subunit vaccines are expected to have superior utility than any other vaccines for various reasons.
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Affiliation(s)
- Daniel Mekonnen
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Hylemariam Mihiretie Mengist
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Cas Key Laboratory of Innate Immunity and Chronic Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Department of Medical Laboratory Science, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Tengchuan Jin
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, Cas Key Laboratory of Innate Immunity and Chronic Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
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14
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Gustiananda M, Sulistyo BP, Agustriawan D, Andarini S. Immunoinformatics Analysis of SARS-CoV-2 ORF1ab Polyproteins to Identify Promiscuous and Highly Conserved T-Cell Epitopes to Formulate Vaccine for Indonesia and the World Population. Vaccines (Basel) 2021; 9:1459. [PMID: 34960205 PMCID: PMC8704007 DOI: 10.3390/vaccines9121459] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/28/2021] [Accepted: 11/30/2021] [Indexed: 12/20/2022] Open
Abstract
SARS-CoV-2 and its variants caused the COVID-19 pandemic. Vaccines that target conserved regions of SARS-CoV-2 and stimulate protective T-cell responses are important for reducing symptoms and limiting the infection. Seven cytotoxic (CTL) and five helper T-cells (HTL) epitopes from ORF1ab were identified using NetCTLpan and NetMHCIIpan algorithms, respectively. These epitopes were generated from ORF1ab regions that are evolutionary stable as reflected by zero Shannon's entropy and are presented by 56 human leukocyte antigen (HLA) Class I and 22 HLA Class II, ensuring good coverage for the Indonesian and world population. Having fulfilled other criteria such as immunogenicity, IFNγ inducing ability, and non-homology to human and microbiome peptides, the epitopes were assembled into a vaccine construct (VC) together with β-defensin as adjuvant and appropriate linkers. The VC was shown to have good physicochemical characteristics and capability of inducing CTL as well as HTL responses, which stem from the engagement of the vaccine with toll-like receptor 4 (TLR4) as revealed by docking simulations. The most promiscuous peptide 899WSMATYYLF907 was shown via docking simulation to interact well with HLA-A*24:07, the most predominant allele in Indonesia. The data presented here will contribute to the in vitro study of T-cell epitope mapping and vaccine design in Indonesia.
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Affiliation(s)
- Marsia Gustiananda
- Department of Biomedicine, School of Life Sciences, Indonesia International Institute for Life Sciences, Jl. Pulomas Barat Kav 88, Jakarta 13210, Indonesia;
| | - Bobby Prabowo Sulistyo
- Department of Biomedicine, School of Life Sciences, Indonesia International Institute for Life Sciences, Jl. Pulomas Barat Kav 88, Jakarta 13210, Indonesia;
| | - David Agustriawan
- Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jl. Pulomas Barat Kav 88, Jakarta 13210, Indonesia;
| | - Sita Andarini
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine University of Indonesia, Persahabatan Hospital, Jl Persahabatan Raya 1, Jakarta 13230, Indonesia;
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15
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Chakraborty C, Sharma AR, Bhattacharya M, Lee SS. Lessons Learned from Cutting-Edge Immunoinformatics on Next-Generation COVID-19 Vaccine Research. Int J Pept Res Ther 2021; 27:2303-2311. [PMID: 34276266 PMCID: PMC8272614 DOI: 10.1007/s10989-021-10254-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2021] [Indexed: 12/23/2022]
Abstract
Presently, immunoinformatics and bioinformatics approaches are contributing actively to COVID-19 vaccine research. The first immunoinformatics-based vaccine construct against SARS-CoV-2 was published in February 2020. Following this, immunoinformatics and bioinformatics approaches have created a new direction in COVID-19 vaccine research. Several researchers have designed the next-generation COVID-19 vaccines using these approaches. Presently, immunoinformatics has accelerated immunology research immensely in the area of COVID-19. Hence, we have tried to depict the current scenario of immunoinformatics and bioinformatics in COVID-19 vaccine research.
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Affiliation(s)
- Chiranjib Chakraborty
- Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Rd, Jagannathpur, Kolkata, West Bengal 700126 India
| | - Ashish Ranjan Sharma
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252 Gangwon-do Republic of Korea
| | - Manojit Bhattacharya
- Department of Zoology, Fakir Mohan University, VyasaVihar, Balasore, Odisha 756020 India
| | - Sang-Soo Lee
- Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252 Gangwon-do Republic of Korea
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