Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35238654.
- Also identified by DOI 10.1073/pnas.2122954119 and PMC identifier 8931377.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
SignificanceSARS-CoV-2 continues to evolve through emerging variants, more frequently observed with higher transmissibility. Despite the wide application of vaccines and antibodies, the selection pressure on the Spike protein may lead to further evolution of variants that include mutations that can evade immune response. To catch up with the virus's evolution, we introduced a deep learning approach to redesign the complementarity-determining regions (CDRs) to target multiple virus variants and obtained an antibody that broadly neutralizes SARS-CoV-2 variants.
Medical subject headings
- Broadly Neutralizing Antibodies
- COVID-19
- SARS-CoV-2