Article
Emergent time scales of epistasis in protein evolution.
Proceedings of the National Academy of Sciences of the United States of America - 1 Oct 2024
Di Bari Leonardo, Bisardi Matteo, Cotogno Sabrina, Weigt Martin, Zamponi Francesco
Abstract excerpt
We introduce a data-driven epistatic model of protein evolution, capable of generating evolutionary trajectories spanning very different time scales reaching from individual mutations to diverged homologs. Our in silico evolution encompasses random nucleotide mutations, insertions and deletions, and models selection using a fitness landscape, which is inferred via a generative probabilistic model for protein...
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