Computational design of a neutralizing antibody with picomolar binding affinity for all concerning SARS-CoV-2 variants

对所有相关 SARS-CoV-2 变体具有皮摩尔结合亲和力的中和抗体的计算设计

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作者:Bo-Seong Jeong, Jeong Seok Cha, Insu Hwang, Uijin Kim, Jared Adolf-Bryfogle, Brian Coventry, Hyun-Soo Cho, Kyun-Do Kim, Byung-Ha Oh

Abstract

Coronavirus disease 2019, caused by SARS-CoV-2, remains an on-going pandemic, partly due to the emergence of variant viruses that can "break-through" the protection of the current vaccines and neutralizing antibodies (nAbs), highlighting the needs for broadly nAbs and next-generation vaccines. We report an antibody that exhibits breadth and potency in binding the receptor-binding domain (RBD) of the virus spike glycoprotein across SARS coronaviruses. Initially, a lead antibody was computationally discovered and crystallographically validated that binds to a highly conserved surface of the RBD of wild-type SARS-CoV-2. Subsequently, through experimental affinity enhancement and computational affinity maturation, it was further developed to bind the RBD of all concerning SARS-CoV-2 variants, SARS-CoV-1 and pangolin coronavirus with pico-molar binding affinities, consistently exhibited strong neutralization activity against wild-type SARS-CoV-2 and the Alpha and Delta variants. These results identify a vulnerable target site on coronaviruses for development of pan-sarbecovirus nAbs and vaccines.

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