Tree-aware conditional language modeling recovers mutational patterns of viral evolution
EvoPLM-Tree, a tree-aware conditional autoregressive language model that predicts descendant protein sequences from ancestral sequences together with phylogenetically derived evolutionary features, provides a framework for modeling protein evolution along phylogenetic lineages and prioritizing plausible future mutations from genomic surveillance data.
Polina V. Polunina, Wolfgang Maier, Alan F. Rubin
· bioRxiv · 0 citations