A variational autoencoder (VAE)-based model is developed that enables more precise clustering of enzymes and identifies functional relationships that traditional tools miss, demonstrating its potential to accelerate enzyme discovery for diverse biocatalytic applications.
Chang-Hwa Chiang, Daniel Ong, A. Narayan et al.· Proceedings of the National...· 0 citations
How binding of ∼1.5 net protons alters electrostatic interactions involving ionizable residues distributed across much of the protein surface is uncovered, revealing how communication between surface ionizable residues and the hydrophobic core is mediated by extensive interaction networks that reorganize in response to...
Iain M.H. McDonald, L. B. Socas, Max Walton-Raaby et al.· bioRxiv· 0 citations
This work systematically evaluates the performance of a popular ML-based docking method, DiffDock-Pocket, on high-throughput screening (HTS) data sets derived from the PubChem BioAssay database, a premier source of bioactivity data.
Furyal Ahmed, M. Soellner, Charles L. Brooks· Journal of Chemical Informat...· 0 citations
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