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Mutations in the SARS-CoV-2 spike RBD are responsible for stronger ACE2 binding and poor anti-SARS-CoV mAbs cross-neutralization

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dc.contributor.authorShah, M-
dc.contributor.authorAhmad, B-
dc.contributor.authorChoi, S-
dc.contributor.authorWoo, HG-
dc.date.accessioned2022-11-23T07:32:32Z-
dc.date.available2022-11-23T07:32:32Z-
dc.date.issued2020-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/22763-
dc.description.abstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), is a novel beta coronavirus. SARS-CoV-2 uses spike glycoprotein to interact with host angiotensin-converting enzyme 2 (ACE2) and ensure cell recognition. High infectivity of SARS-CoV-2 raises questions on spike-ACE2 binding affinity and its neutralization by anti-SARS-CoV monoclonal antibodies (mAbs). Here, we observed Val-to-Lys417 mutation in the receptor-binding domains (RBD) of SARS-CoV-2, which established a Lys-Asp electrostatic interaction enhancing its ACE2-binding. Pro-to-Ala475 substitution and Gly482 insertion in the AGSTPCNGV-loop of RBD possibly hinders neutralization of SARS-CoV-2 by anti-SARS-CoV mAbs. In addition, we identified unique and structurally conserved conformational-epitopes on RBDs, which can be potential therapeutic targets. Collectively, we provide new insights into the mechanisms underlying the high infectivity of SARS-CoV-2 and development of effective neutralizing agents.-
dc.language.isoen-
dc.titleMutations in the SARS-CoV-2 spike RBD are responsible for stronger ACE2 binding and poor anti-SARS-CoV mAbs cross-neutralization-
dc.typeArticle-
dc.identifier.pmid33200028-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657873-
dc.subject.keywordCOVID-19-
dc.subject.keywordSARS-CoV-2-
dc.subject.keywordSpike protein-
dc.subject.keywordTherapeutic peptides-
dc.subject.keywordmAb-
dc.contributor.affiliatedAuthorShah, M-
dc.contributor.affiliatedAuthorWoo, HG-
dc.type.localJournal Papers-
dc.identifier.doi10.1016/j.csbj.2020.11.002-
dc.citation.titleComputational and structural biotechnology journal-
dc.citation.volume18-
dc.citation.date2020-
dc.citation.startPage3402-
dc.citation.endPage3414-
dc.identifier.bibliographicCitationComputational and structural biotechnology journal, 18. : 3402-3414, 2020-
dc.identifier.eissn2001-0370-
dc.relation.journalidJ020010370-
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Journal Papers > School of Medicine / Graduate School of Medicine > Physiology
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