Application of Semiempirical Quantum Mechanical Methods To Accurately Estimate Ligand-Binding Structure in Biological Systems: Protein Kinase Case Study
This study presents a quantum mechanical (QM)-based workflow utilizing semiempirical methods for estimating ligand binding poses in protein-ligand complexes, focusing on kinases of pharmaceutical relevance: CDK2, CK2, p38α, and CAMK1DA. The protocol integrates xTB-based docking with PM6-D3H4X rescoring within a QM/MM framework, aiming to enhance the structural accuracy over traditional docking methods. Drug-like and fragment-like ligands were tested across different receptor structures to assess robustness for CDK2 and CK2. Results show that for drug-like ligands the QM approach reproduces experimental poses. However, performance is less consistent for the fragment-like ligands we have considered, perhaps due to structural ambiguity and weak binding interactions limiting accuracy.
Authors
- T. Langer
- Edgar Jacoby (ORCID: https://orcid.org/0000-0003-4312-9448)
- Jeremy Noel Harvey (ORCID: https://orcid.org/0000-0002-1728-1596)
- Christian Permann
- Charles-Alexandre Mattelaer
- Roberto Fino
Institutions
- University of Vienna (AT)
- Janssen (Belgium) (BE)
- Inte:Ligand (Austria) (AT)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1021/acs.jcim.5c02274
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00