Toward Automated Free Energy Calculation with Accelerated Enveloping Distribution Sampling (A-EDS)

Area of Science:

• Computational chemistry
• Molecular modeling
• Drug discovery

Background:

• Free-energy perturbation (FEP) is vital for calculating ligand binding affinities in drug design.
• Traditional FEP requires careful multistep transformations for adequate phase-space overlap.
• Single-step methods like Enveloping Distribution Sampling (EDS) aim for efficiency but can be complex to parameterize.

Purpose of the Study:

• To simplify the parameterization of the accelerated Enveloping Distribution Sampling (A-EDS) reference state.
• To demonstrate the automated calculation of multiple relative binding free energies from a single simulation.
• To validate the A-EDS approach in well-established drug design model systems.

Main Methods:

• Development of a simplified parameterization strategy for the A-EDS reference state.
• Implementation of automated workflows for calculating multiple free-energy differences.
• Application of the A-EDS method to three distinct drug design model systems.

Main Results:

• Successful simplification of A-EDS reference state parameterization.
• Demonstration of automated, single-simulation calculation of multiple free-energy differences.
• Validation of the A-EDS approach across diverse model systems, showing its utility in drug design.

Conclusions:

• The simplified A-EDS method offers a more efficient and automated approach to calculating relative ligand binding free energies.
• This advancement streamlines computational drug design by reducing simulation setup and computational cost.
• A-EDS provides a powerful tool for rapidly assessing multiple ligand candidates against a target protein.