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.
| Original language | English |
|---|---|
| Pages (from-to) | 1231-1240 |
| Number of pages | 10 |
| Journal | Journal of Chemical Information and Modeling |
| Volume | 66 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 26 Jan 2026 |
Austrian Fields of Science 2012
- 301207 Pharmaceutical chemistry
Keywords
- Ligands
- Quantum Theory
- Molecular Docking Simulation
- Protein Binding
- Protein Kinases/metabolism
- Protein Kinase Inhibitors/chemistry
- Humans
- Binding Sites
- Cyclin-Dependent Kinase 2/chemistry
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