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Leveraging a Separation of States Method for Relative Binding Free Energy Calculations in Systems with Trapped Waters
Swapnil Wagle1, Pascal T Merz2, Yunhui Ge3
1Department of Pharmaceutical Sciences, University of California, Irvine, California 92697, United States.
This study introduces a new "separation of states" method for accurate relative binding free energy (RBFE) calculations, especially when protein-ligand interactions involve crucial water molecules. The approach improves drug discovery by reliably handling complex binding site water dynamics.
Area of Science:
- Computational chemistry
- Structural biology
- Drug discovery
Background:
- Relative binding free energy (RBFE) calculations are vital in structure-based drug discovery.
- Handling interfacial waters in protein-ligand binding poses significant challenges for RBFE accuracy.
- Existing methods using enhanced sampling for trapped waters can lead to simulation hysteresis.
Purpose of the Study:
- To introduce and validate a novel "separation of states" method for RBFE calculations.
- To address inaccuracies in RBFE estimates caused by differing trapped water configurations between ligands.
- To provide a robust computational approach for ligand binding affinity prediction.
Main Methods:
- Developed a "separation of states" approach to decouple trapped water sampling from ligand transformation.
- Decoupled interfacial water, stabilized the resulting cavity, and grew a displacing ligand.
- Applied the method to five ligand pairs involving trapped water rearrangement.
- Optimized simulation protocols for large-scale distributed computing and automated the workflow.
Main Results:
- The "separation of states" method yields precise and accurate RBFE estimates.
- Successfully calculated RBFEs for ligand pairs with varying trapped water arrangements.
- Demonstrated the method's effectiveness in overcoming challenges posed by interfacial water dynamics.
Conclusions:
- The "separation of states" method offers a reliable alternative for RBFE calculations involving trapped waters.
- This approach enhances the accuracy and applicability of computational methods in drug discovery.
- The optimized and automated workflow facilitates broader use in research settings.
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