From a single sequence to evolutionary trajectories: protein language models capture the evolutionary potential of SARS-CoV-2 protein sequences
Kieran D. Lamb, Joseph Hughes, Spyros Lytras, Francesca Young, Orges Koci, James Herzig, Simon C. Lovell, Joe Grove, Ke Yuan, David L. Robertson
This paper shows that protein language models can assess mutation effects in SARS-CoV-2 spike protein without multiple sequence alignments, capturing evolutionary constraints and variant properties.
bioRxiv · Jul 5, 2024 · PreprintBioinformatics