A cell-free antibody engineering platform rapidly generates SARS-CoV-2 neutralizing antibodies.

ABSTRACT: Antibody engineering technologies face increasing demands for speed, reliability and scale. We developed CeVICA, a cell-free antibody engineering platform that integrates a novel generation method and design for camelid heavy-chain antibody VHH domain-based synthetic libraries, optimized in vitro selection based on ribosome display and a computational pipeline for binder prediction based on CDR-directed clustering. We applied CeVICA to engineer antibodies against the Receptor Binding Domain (RBD) of the SARS-CoV-2 spike proteins and identified >800 predicted binder families. Among 14 experimentally-tested binders, 6 showed inhibition of pseudotyped virus infection. Antibody affinity maturation further increased binding affinity and potency of inhibition. Additionally, the unique cap

SUBMITTER: Chen X 

PROVIDER: S-EPMC7605568 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature