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Updated: Mar 31, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Improving protein-ligand docking with flexible interfacial water molecules using SWRosettaLigand
Linqing Li1, Weiwei Xu2, Qiang Lü3,4
1School of Computer Science and Technology, Soochow University, P.O.Box 158, 1 Shizi Street, Suzhou, Jiangsu, 215006, China.
SWRosettaLigand improves computational protein-ligand docking by modeling flexible water molecules and receptor interface flexibility. This enhanced approach leads to more accurate predictions in drug discovery simulations.
Area of Science:
- Computational chemistry
- Structural biology
- Drug discovery
Background:
- Protein-ligand docking is crucial for drug discovery and design.
- Conformational changes, particularly involving water molecules and receptor interfaces, significantly impact docking accuracy.
- Existing protocols may not adequately account for these dynamic aspects.
Purpose of the Study:
- To develop an improved computational protocol for protein-ligand docking.
- To enhance accuracy by incorporating flexibility of interfacial water molecules and receptor backbone interfaces.
- To refine the RosettaLigand protocol for better performance in drug design.
Main Methods:
- Developed SWRosettaLigand, an enhanced version of the RosettaLigand protocol.
- Incorporated pre-optimization of interfacial water molecules and modeling of receptor interface flexibility.
- Employed kinematic closure or cyclic coordinate descent for refining receptor backbone dynamics during docking.
Main Results:
- SWRosettaLigand demonstrated improved accuracy in cross-docking tests.
- Achieved better top-ranked structure accuracy in 8 out of 14 and 16 out of 22 test instances compared to other protocols.
- Successfully integrated explicit water molecules and receptor interface flexibility into the docking process.
Conclusions:
- The SWRosettaLigand protocol offers enhanced accuracy for protein-ligand docking.
- Modeling interfacial water and receptor flexibility is critical for improving docking predictions.
- This method holds promise for advancing computational drug discovery and design.
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