High-quality experimental datasets that link protein–ligand structures with binding affinity data are essential for developing and evaluating structure-based machine learning methods. To help address this need, we established OpenBind as an open-science initiative to generate large-scale experimental datasets for struc...
Jochem Nelen, Omeir Khan, Etowah Adams et al.· bioRxiv· 1 citation
Antibodies recognise their targets through hypervariable complementarity-determining regions (CDRs), which are interleaved with conserved frameworks in sequence space, making de novo CDR design an infilling problem. Autoregressive models generate residues left-to-right, which precludes full framework context during CDR...
Ferran Gonzalez Hernandez, Oliver M. Turnbull, Maliha Sultana et al.· bioRxiv· 0 citations
A new physics-informed representation using Fourier transforms as an inductive bias for the multiscale temporal nature of protein dynamics, DynaMode is presented, achieving strong performance across a set of ensemble-based metrics.
H. Phipps, M. Cagiada, S. Villalba et al.· 0 citations
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