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Immuno-Informatics Quest against COVID-19/SARS-COV-2: Determining Putative T-Cell Epitopes for Vaccine Prediction.
Infect Disord Drug Targets. 2021; 21(4):541-552.ID

Abstract

BACKGROUND

Since December 2019, a novel coronavirus, SARS-CoV-2, has caused global public health issues after being reported for the first time in Wuhan province of China. So far, there have been approximately 14.8 million confirmed cases and 0.614 million deaths due to the SARS-CoV-2 infection globally, and still, numbers are increasing. Although the virus has caused a global public health concern, no effective treatment has been developed.

OBJECTIVE

One of the strategies to combat the COVID-19 disease caused by SARS-CoV-2 is the development of vaccines that can make humans immune to these infections. Considering this approach, in this study, an attempt has been made to design epitope-based vaccine for combatting COVID-19 disease by analyzing the complete proteome of the virus by using immuno-informatics tools.

METHODS

The protein sequence of the SARS-CoV-2 was retrieved and the individual proteins were checked for their allergic potential. Then, from non-allergen proteins, antigenic epitopes were identified that could bind with MHCII molecules. The epitopes were modeled and docked to predict the interaction with MHCII molecules. The stability of the epitope-MHCII complex was further analyzed by performing a molecular dynamics simulation study. The selected vaccine candidates were also analyzed for their global population coverage and conservancy among SARS-related coronavirus species.

RESULTS

The study has predicted 5 peptide molecules that can act as potential candidates for epitope- based vaccine development. Among the 5 selected epitopes, the peptide LRARSVSPK can be the most potent epitope because of its high geometric shape complementarity score, low ACE and very high response towards it by the world population (81.81% global population coverage). Further, molecular dynamic simulation analysis indicated the formation of a stable epitope-MHCII complex. The epitope LRARSVSPK was also found to be highly conserved among the SARS-CoV- -2 isolated from different countries.

CONCLUSION

The study has predicted T-cell epitopes that can elicit a robust immune response in the global human population and act as potential vaccine candidates. However, the ability of these epitopes to act as vaccine candidate needs to be validated in wet lab studies.

Links

Publisher Full Text (DOI)

Authors+Show Affiliations

Akhtar N
School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab, India.
Joshi A
School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab, India.
Singh B
School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab, India.
Kaushik V
School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab, India.

MeSH

COVID-19Epitopes, B-LymphocyteEpitopes, T-LymphocyteHumansMolecular Docking SimulationSARS-CoV-2Spike Glycoprotein, CoronavirusVaccines

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32957905

Citation

Akhtar, Nahid, et al. "Immuno-Informatics Quest Against COVID-19/SARS-COV-2: Determining Putative T-Cell Epitopes for Vaccine Prediction." Infectious Disorders Drug Targets, vol. 21, no. 4, 2021, pp. 541-552.
Akhtar N, Joshi A, Singh B, et al. Immuno-Informatics Quest against COVID-19/SARS-COV-2: Determining Putative T-Cell Epitopes for Vaccine Prediction. Infect Disord Drug Targets. 2021;21(4):541-552.
Akhtar, N., Joshi, A., Singh, B., & Kaushik, V. (2021). Immuno-Informatics Quest against COVID-19/SARS-COV-2: Determining Putative T-Cell Epitopes for Vaccine Prediction. Infectious Disorders Drug Targets, 21(4), 541-552. https://doi.org/10.2174/1871526520666200921154149
Akhtar N, et al. Immuno-Informatics Quest Against COVID-19/SARS-COV-2: Determining Putative T-Cell Epitopes for Vaccine Prediction. Infect Disord Drug Targets. 2021;21(4):541-552. PubMed PMID: 32957905.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Immuno-Informatics Quest against COVID-19/SARS-COV-2: Determining Putative T-Cell Epitopes for Vaccine Prediction. AU - Akhtar,Nahid, AU - Joshi,Amit, AU - Singh,Bhupender, AU - Kaushik,Vikas, PY - 2020/04/28/received PY - 2020/07/25/revised PY - 2020/07/27/accepted PY - 2020/9/23/pubmed PY - 2021/10/16/medline PY - 2020/9/22/entrez KW - COVID-19 KW - Coronavirus KW - Epitope KW - MHC class II KW - Vaccines KW - docking KW - simulation. SP - 541 EP - 552 JF - Infectious disorders drug targets JO - Infect Disord Drug Targets VL - 21 IS - 4 N2 - BACKGROUND: Since December 2019, a novel coronavirus, SARS-CoV-2, has caused global public health issues after being reported for the first time in Wuhan province of China. So far, there have been approximately 14.8 million confirmed cases and 0.614 million deaths due to the SARS-CoV-2 infection globally, and still, numbers are increasing. Although the virus has caused a global public health concern, no effective treatment has been developed. OBJECTIVE: One of the strategies to combat the COVID-19 disease caused by SARS-CoV-2 is the development of vaccines that can make humans immune to these infections. Considering this approach, in this study, an attempt has been made to design epitope-based vaccine for combatting COVID-19 disease by analyzing the complete proteome of the virus by using immuno-informatics tools. METHODS: The protein sequence of the SARS-CoV-2 was retrieved and the individual proteins were checked for their allergic potential. Then, from non-allergen proteins, antigenic epitopes were identified that could bind with MHCII molecules. The epitopes were modeled and docked to predict the interaction with MHCII molecules. The stability of the epitope-MHCII complex was further analyzed by performing a molecular dynamics simulation study. The selected vaccine candidates were also analyzed for their global population coverage and conservancy among SARS-related coronavirus species. RESULTS: The study has predicted 5 peptide molecules that can act as potential candidates for epitope- based vaccine development. Among the 5 selected epitopes, the peptide LRARSVSPK can be the most potent epitope because of its high geometric shape complementarity score, low ACE and very high response towards it by the world population (81.81% global population coverage). Further, molecular dynamic simulation analysis indicated the formation of a stable epitope-MHCII complex. The epitope LRARSVSPK was also found to be highly conserved among the SARS-CoV- -2 isolated from different countries. CONCLUSION: The study has predicted T-cell epitopes that can elicit a robust immune response in the global human population and act as potential vaccine candidates. However, the ability of these epitopes to act as vaccine candidate needs to be validated in wet lab studies. SN - 2212-3989 UR - https://www.unboundmedicine.com/medline/citation/32957905/Immuno_Informatics_Quest_against_COVID_19/SARS_COV_2:_Determining_Putative_T_Cell_Epitopes_for_Vaccine_Prediction_ DB - PRIME DP - Unbound Medicine ER -