Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures
Protein-ligand binding site prediction is a useful tool for understanding the functional behaviour and potential drug-target interactions of a novel protein of interest. However, most binding site prediction methods are tested by providing crystallised ligand-bound (holo) structures as input. This t...
Main Authors: | Carbery, A, Buttenschoen, M, Skyner, R, von Delft, F, Deane, CM |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2024
|
Similar Items
-
Rapid and accurate prediction and scoring of water molecules in protein binding sites.
by: Ross, G, et al.
Published: (2012) -
Fragment libraries designed to be functionally diverse recover protein binding information more efficiently than standard structurally diverse libraries
by: Carbery, A, et al.
Published: (2022) -
Fragmenstein: predicting protein–ligand structures of compounds derived from known crystallographic fragment hits using a strict conserved-binding–based methodology
by: Ferla, MP, et al.
Published: (2025) -
Identifying small molecule binding sites for epigenetic proteins at domain-domain interfaces
by: Brennan, P, et al.
Published: (2018) -
How accurate can genetic predictions be?
by: Dreyfuss, Jonathan M., et al.
Published: (2013)