Statistical potentials and scoring functions applied to protein-ligand binding
- PMID: 11297933
- DOI: 10.1016/s0959-440x(00)00195-0
Statistical potentials and scoring functions applied to protein-ligand binding
Abstract
In virtual screening, small-molecule ligands are docked into protein binding sites and their binding affinity is predicted. Knowledge-based, regression-based and first-principle-based methods have been developed to rank computer-generated binding modes. As a result of still existing deficiencies, a best compromise might be the combination of several scoring schemes into a consensus scoring approach.
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