Rapid in silico design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing
Thomas Desautels, Adam T Zemla, Edmond Y. Lau, Magdalena Franco, Daniel Faissol
This paper uses machine learning and supercomputing to design antibodies targeting SARS-CoV-2, generating 20 antibody sequences with improved binding energy to the RBD.
bioRxiv · Apr 3, 2020 · PreprintBioinformatics