Viro3D: a comprehensive database of virus protein structure predictions

ABSTRACT: Viruses are genetic parasites of cellular life. Tolerance to genetic change, high mutation rates, adaptations to hosts, and immune escape have driven extensive sequence divergence of viral genes, hampering phylogenetic inference and functional annotation. Protein structure, however, is more conserved, allowing searches for distant homologs and revealing otherwise obscured evolutionary histories. Viruses are underrepresented in current protein structure databases, but this can be addressed by recent advances in machine learning. Using AlphaFold2-ColabFold and ESMFold, we predicted structures for 85,000 proteins from 4,400 viruses, expanding viral coverage 30-times compared to experimental structures. Using this data, we map form and function across the human and animal virosphere and examin

SUBMITTER: Ulad Litvin 

PROVIDER: S-SCDT-10_1038-S44320-025-00147-9 | biostudies-other |

REPOSITORIES: biostudies-other