Divide-and-Conquer ABFE: Improving Free Energy Calculations by Enhancing Water Sampling

Area of Science:

• Computational chemistry
• Molecular modeling
• Biophysics

Background:

• Free energy perturbation (FEP) is crucial for predicting molecular interactions in drug design and materials science.
• Traditional FEP methods struggle with convergence in aqueous environments due to insufficient water molecule sampling.
• Solvation effects are critical for accurate binding free energy calculations.

Purpose of the Study:

• To introduce a novel method, divide-and-conquer absolute binding free energy (DC-ABFE), to overcome FEP convergence limitations.
• To improve the accuracy and reliability of binding free energy predictions, especially in solvation studies.
• To provide a more robust tool for drug screening and affinity prediction.

Main Methods:

• The DC-ABFE method partitions molecules into atomic groups.
• It sequentially decouples van der Waals interactions within these groups.
• This approach enhances water re-entry sampling and phase-space overlap.

Main Results:

• DC-ABFE significantly improves the convergence of free energy calculations.
• The method yields more reproducible and reliable binding free energy predictions than traditional FEP.
• Demonstrated applicability to various solvation-related free energy calculations.

Conclusions:

• DC-ABFE offers a robust solution for convergence issues in FEP calculations.
• The method enhances the accuracy of predicting molecular interactions and binding affinities.
• DC-ABFE provides a stronger foundation for precise drug screening and discovery.