Prediction of enzyme inhibition (IC50) using a combination of protein–ligand docking and semiempirical quantum mechanics
A set of 77 ligands was constructed for which experimentally determined IC<sub>50</sub> values were available. For each of the ligands, prediction of the protein-ligand interaction energy was carried out in two distinct stages. In the first stage, the Protein-Ligand docking program GOLD was used to generate several distinct conformations of the ligand bound to a protein. The geometries of these systems were then optimised using the MOPAC program. A comparison of the relative binding energies of the ligands with the reported IC<sub>50</sub> values showed a very poor predictive power. By partitioning the ligand set into two subsets, and eliminating six ligands that were inconsistent with the experimental results, a large increase in accuracy was obtained.
Authors
- Jason C. Cole (ORCID: https://orcid.org/0000-0002-0291-6317)
- Robert C. Glen (ORCID: https://orcid.org/0000-0003-1759-2914)
- James J. P. Stewart (ORCID: https://orcid.org/0000-0001-6280-8695)
Institutions
- University of Cambridge (GB)
- Hammersmith Hospital (GB)
- Cambridge Crystallographic Data Centre (GB)
- St Mary's Hospital (AU)
Publication Details
- Journal
- Journal of Molecular Modeling
- Published
- 2025-07-12
- DOI
- https://doi.org/10.1007/s00894-025-06423-7
- Citations
- 3
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.51