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Updated: May 12, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Insight into the binding model of new antagonists of kappa receptor using docking and molecular dynamics simulation
Shiyuan Hu1, Haijing Yu, Yongjuan Liu
1Key Laboratory of Radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
Abstract:
PF-4455242 and its analogues represent a new series of kappa opioid selective antagonists that demonstrate high selectivity and potency. We investigated their binding mode to the κ-receptor via docking and molecular dynamics simulations. The ranking of the predicted binding free energies is consistent with experimental results. Detailed binding free energies between antagonists and individual protein residues were calculated, and key residues involved in binding were identified. Deviation of the active site residues was investigated, and the results show that Gln115, Leu135, Tyr139, Trp287 and Tyr313 deviate greatly from the reference structure. Information obtained from molecular modeling studies will aid in the design of potent kappa receptor antagonists.
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