Mechanistic understanding of viral protein-protein interactions enables global health security and pandemic preparedness, yet experimental characterisation remains difficult, costly, and often restricted to specialised laboratories. Here, we describe an in silico campaign using AlphaFold2 and AlphaFold-Multimer to pred...
Yew-On Han, Riya Narain, Razan Abbara et al.· bioRxiv· 0 citations
The Big Fantastic Virus Database v3 is the most comprehensive resource for ColabFold-AlphaFold2-predicted viral protein structures, bringing us closer to a structural catalog of the known virosphere and is freely available at bfvd.workers.dev and bfvd.foldseek.com.
R. Kim, O. Pimenova, E. L. Karin et al.· bioRxiv· 0 citations
Foldseek-Interface is presented, a method that converts 3D interface structures into searchable sequences to enable fast alignment and clustering of protein interaction interfaces and matches the accuracy of state-of-the-art tools while running up to 230 times faster.
J. M. Strom, Sooyoung Cha, R. Kim et al.· bioRxiv· 1 citation· ⚡1
Multiple sequence alignment (MSA) Pairformer is presented, a protein language model that builds on AlphaFold2/3's bidirectional refinement between sequence and pairwise residue representations to accurately model the evolution of protein-protein interactions, despite training exclusively on individual chains.
Yo Akiyama, Zhidian Zhang, Olivia Tang et al.· Cell· 3 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
