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Charged Systems in Absolute Binding Free Energy Calculations: An Analytical Electrostatic Approach
Runduo Liu1, Wanyi Huang1, Yufen Yao1
1State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou510006, P. R. China.
Electrostatic Interaction Decoupling (EID) corrects errors in protein-ligand binding affinity predictions for charged molecules. This postprocessing method improves accuracy without complex simulations or approximations.
Area of Science:
- Computational Chemistry
- Molecular Modeling
- Biophysics
Background:
- Alchemical free energy perturbation (FEP) is a rigorous method for protein-ligand binding affinity prediction.
- Charged-ligand calculations using FEP are susceptible to finite-size electrostatic artifacts from periodic boundary conditions, causing significant bias.
- Existing correction methods have limitations, including reliance on approximate models or introduction of spurious interactions.
Purpose of the Study:
- To present Electrostatic Interaction Decoupling (EID), a novel postprocessing approach to correct electrostatic artifacts in charge-changing FEP calculations.
- To provide a method that enhances the accuracy and reliability of protein-ligand binding affinity predictions for charged systems.
Main Methods:
- EID combines exact algebraic isolation of ligand-environment electrostatic interactions under neutral conditions with an analytical correction for periodic boundary effects.
- This approach separates physical interactions from artifact-contaminated terms.
- EID functions as a postprocessing step, requiring no additional simulations or Poisson-Boltzmann calculations.
Main Results:
- EID successfully corrects charge-changing FEP results without employing continuum electrostatics or alchemically transformed particles.
- Benchmarks across four charged protein-ligand systems demonstrated improved predictive accuracy with EID.
- EID exhibited more consistent cross-system performance compared to existing correction methods.
Conclusions:
- EID offers a rigorous and immediately deployable solution for charge-changing free energy calculations in molecular modeling.
- The method overcomes limitations of previous approaches, enhancing the accuracy of protein-ligand binding affinity predictions.
- EID provides a significant advancement for computational chemistry in studying charged molecular systems.
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