Application of an integrated computational antibody engineering platform to design SARS-CoV-2 neutralizers.
Ontology highlight
ABSTRACT: As the COVID-19 pandemic continues to spread, hundreds of new initiatives including studies on existing medicines are running to fight the disease. To deliver a potentially immediate and lasting treatment to current and emerging SARS-CoV-2 variants, new collaborations and ways of sharing are required to create as many paths forward as possible. Here, we leverage our expertise in computational antibody engineering to rationally design/engineer three previously reported SARS-CoV neutralizing antibodies and share our proposal towards anti-SARS-CoV-2 biologics therapeutics. SARS-CoV neutralizing antibodies, m396, 80R and CR-3022 were chosen as templates due to their diversified epitopes and confirmed neutralization potency against SARS-CoV (but not SARS-CoV-2 except for CR3022). Structures of
SUBMITTER: Riahi S
PROVIDER: S-EPMC8344454 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA