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Relative Binding Free Energy between Chemically Distant Compounds Using a Bidirectional Nonequilibrium Approach.

Piero Procacci1

  • 1Dipartimento di Chimica "Ugo Schiff", Università degli Studi di Firenze, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy.

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We developed a novel dual topology alchemical method for calculating relative binding free energy (RBFE) between chemically distant compounds. This enhanced sampling approach, NE-RBFE, improves accuracy and applicability in drug design simulations.

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Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Drug discovery

Background:

  • Accurate calculation of relative binding free energy (RBFE) is crucial for hit-to-lead drug design.
  • Standard methods often struggle with chemically distant compounds and require highly overlapping molecular structures.

Purpose of the Study:

  • To propose a novel dual topology alchemical approach for calculating RBFE between chemically distant compounds.
  • To enhance sampling efficiency and accuracy in free energy calculations.
  • To provide a versatile method applicable to various molecular dynamics software.

Main Methods:

  • Utilized a dual topology alchemical approach with enhanced sampling via Hamiltonian Replica Exchange.
  • Employed fast nonequilibrium (NE) simulations connected by the Crooks theorem for RBFE predictions.
  • Minimized simulation dissipation using smoothed electrostatic and Lennard-Jones potentials.

Main Results:

  • Successfully calculated RBFEs for a challenging host-guest system in the SAMPL contest.
  • Demonstrated closure validation for compounds with diverse chemical properties (charge, volume, Tanimoto coefficient).
  • The NE-RBFE method overcomes limitations of single topology approaches for dissimilar molecules.

Conclusions:

  • The NE-RBFE method offers a robust and accurate way to compute RBFEs for diverse chemical series.
  • This approach is well-suited for massively parallel computing environments.
  • It provides a significant advancement for computational drug design and molecular simulations.