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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.
Shah, Masaud; Ahmad, Bilal; Choi, Sangdun; Woo, Hyun Goo.
  • Shah M; Department of Physiology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Ahmad B; Department of Molecular Science and Technology, Ajou University, Suwon, Republic of Korea.
  • Choi S; Department of Molecular Science and Technology, Ajou University, Suwon, Republic of Korea.
  • Woo HG; Department of Physiology, Ajou University School of Medicine, Suwon, Republic of Korea.
Comput Struct Biotechnol J ; 18: 3402-3414, 2020.
Article in English | MEDLINE | ID: covidwho-919690
ABSTRACT
Severe 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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Randomized controlled trials Language: English Journal: Comput Struct Biotechnol J Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Randomized controlled trials Language: English Journal: Comput Struct Biotechnol J Year: 2020 Document Type: Article