Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning
Danielle Shlesinger, Viktor Sadílek, Mason Minot, Evangelos Stamkopoulos, Thomas Bikias, Raphael Kuhn, Andreas Agrafiotis, Joseph M. Taft, Alexander Yermanos, Sai T. Reddy
The paper uses deep mutational learning to analyze serum antibody escape to SARS-CoV-2 variants, finding individualized escape profiles and conserved binding signatures.
Cell Reports Methods · Apr 23, 2026Peer-reviewedImmunology