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.

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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
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article

Application of Semiempirical Quantum Mechanical Methods To Accurately Estimate Ligand-Binding Structure in Biological Systems: Protein Kinase Case Study

T. Langer, Edgar Jacoby, Jeremy Noel Harvey, Christian Permann et al.
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
article

Application of Semiempirical Quantum Mechanical Methods To Accurately Estimate Ligand-Binding Structure in Biological Systems: Protein Kinase Case Study

T. Langer, Edgar Jacoby, Jeremy Noel Harvey, Christian Permann, Charles-Alexandre Mattelaer, Roberto Fino
article en

Abstract

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.

Journal of Chemical Information and ModelingVol. 66(2)
University of Vienna (AT), Janssen (Belgium) (BE), Inte:Ligand (Austria) (AT), KU Leuven (BE)
Openalex Percentile: Top 88%
Computational Drug Discovery Methods
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