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Integrative immunoinformatics paradigm for predicting potential B-cell and T-cell epitopes as viable candidates for subunit vaccine design against COVID-19 virulence.
Sarma, Vyshnavie R; Olotu, Fisayo A; Soliman, Mahmoud E S.
  • Sarma VR; Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa.
  • Olotu FA; Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa.
  • Soliman MES; Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, South Africa. Electronic address: soliman@ukzn.ac.za.
Biomed J ; 44(4): 447-460, 2021 08.
Article in English | MEDLINE | ID: covidwho-1233372
ABSTRACT

BACKGROUND:

The increase in global mortality rates from SARS-COV2 (COVID-19) infection has been alarming thereby necessitating the continual search for viable therapeutic interventions. Due to minimal microbial components, subunit (peptide-based) vaccines have demonstrated improved efficacies in stimulating immunogenic responses by host B- and T-cells.

METHODS:

Integrative immunoinformatics algorithms were used to determine linear and discontinuous B-cell epitopes from the S-glycoprotein sequence. End-point selection of the most potential B-cell epitope was based on highly essential physicochemical attributes. NetCTL-I and NetMHC-II algorithms were used to predict probable MHC-I and II T-cell epitopes for globally frequent HLA-A∗O201, HLA-B∗3501, HLA-B∗5101 and HLA-DRB1∗1502 molecules. Highly probable T-cell epitopes were selected based on their high propensities for C-terminal cleavage, transport protein (TAP) processing and MHC-I/II binding.

RESULTS:

Preferential epitope binding sites were further identified on the HLA molecules using a blind peptide-docking method. Phylogenetic analysis revealed close relativity between SARS-CoV-2 and SARS-CoV S-protein. LALHRSYLTPGDSSSGWTAGAA242→263 was the most probable B-cell epitope with optimal physicochemical attributes. MHC-I antigenic presentation pathway was highly favourable for YLQPRTFLL269-277 (HLA-A∗0201), LPPAYTNSF24-32 (HLA-B∗3501) and IPTNFTISV714-721 (HLA-B∗5101). Also, LTDEMIAQYTSALLA865-881 exhibited the highest binding affinity to HLA-DR B1∗1501 with core interactions mediated by IAQYTSALL870-878. COVID-19 YLQPRTFLL269-277 was preferentially bound to a previously undefined site on HLA-A∗0201 suggestive of a novel site for MHC-I-mediated T-cell stimulation.

CONCLUSION:

This study implemented combinatorial immunoinformatics methods to model B- and T-cell epitopes with high potentials to trigger immunogenic responses to the S protein of SARS-CoV-2.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epitopes, T-Lymphocyte / COVID-19 Type of study: Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal: Biomed J Year: 2021 Document Type: Article Affiliation country: J.bj.2021.05.001

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epitopes, T-Lymphocyte / COVID-19 Type of study: Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal: Biomed J Year: 2021 Document Type: Article Affiliation country: J.bj.2021.05.001