<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8</volume><submitter>Rahman MS</submitter><pubmed_abstract>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concerns declared by the World Health Organization (WHO). An immuno-informatics approach along with comparative genomics was applied to design a multi-epitope-based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M, and E proteins. The tertiary structure was predicted, refined and validated using advanced bioinformatics tools. The candidate vaccine showed an average of ≥90.0% world population coverage for different ethnic groups. Molecular docking and dynamics simulation of the chimeric vaccine with the immune receptors (TLR3 and TLR4) predicted efficient binding. Immune s</pubmed_abstract><journal>PeerJ</journal><pagination>e9572</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7394063</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2, the etiologic agent of COVID-19 pandemic: an in silico approach.</pubmed_title><pmcid>PMC7394063</pmcid><pubmed_authors>Rubayet Ul Alam ASM</pubmed_authors><pubmed_authors>Islam MR</pubmed_authors><pubmed_authors>Siddique MA</pubmed_authors><pubmed_authors>Sultana M</pubmed_authors><pubmed_authors>Hossain MA</pubmed_authors><pubmed_authors>Akter S</pubmed_authors><pubmed_authors>Rahman MS</pubmed_authors><pubmed_authors>Rahaman MM</pubmed_authors><pubmed_authors>Crandall KA</pubmed_authors><pubmed_authors>Hoque MN</pubmed_authors><pubmed_authors>Saha O</pubmed_authors></additional><is_claimable>false</is_claimable><name>Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2, the etiologic agent of COVID-19 pandemic: an in silico approach.</name><description>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concerns declared by the World Health Organization (WHO). An immuno-informatics approach along with comparative genomics was applied to design a multi-epitope-based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M, and E proteins. The tertiary structure was predicted, refined and validated using advanced bioinformatics tools. The candidate vaccine showed an average of ≥90.0% world population coverage for different ethnic groups. Molecular docking and dynamics simulation of the chimeric vaccine with the immune receptors (TLR3 and TLR4) predicted efficient binding. Immune s</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020</publication><modification>2026-05-02T23:43:18.72Z</modification><creation>2020-11-19T16:13:36Z</creation></dates><accession>S-EPMC7394063</accession><cross_references><pubmed>33194329</pubmed><doi>10.7717/peerj.9572</doi></cross_references></HashMap>