This model uses #AlphaFold2-like architecture to perform flexible docking of small molecules into #protein targets, predicting both structure and affinity.
Read the paper: https://t.co/9sbF5ZeHC3
"#CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and #AlphaFold" is now online in @naturemethods!
@DinaSchneidman
Read the paper: https://t.co/bA5IAQKdhq
1/8 Excited to introduce CombFold - an algorithm for predicting large multi-protein complexes using the combinatorial and hierarchical assembly of #AlphaFold models. @DinaSchneidman
https://t.co/sW5gMgf8Ky
@abs_WaleedM@DinaSchneidman Thanks! We do think it is very relevant, so we benchmarked CombFold against AFM and even the recently released AFMv3 (bars graph above in thread)
1/8 Excited to introduce CombFold - an algorithm for predicting large multi-protein complexes using the combinatorial and hierarchical assembly of #AlphaFold models. @DinaSchneidman
https://t.co/sW5gMgf8Ky
7/8 Unknown stoichiometry remains one of the most significant gaps in high-throughput complex prediction. We present a proof-of-concept of using CombFold for rapid enumeration of stoichiometries.