A Method for Treating Significant Conformational Changes in Alchemical Free Energy Simulations of Protein–Ligand Binding

Relative binding free energy (RBFE) simulation is a rigorous approach to the calculation of quantitatively accurate binding free energy values for protein-ligand binding in which a reference binder is gradually converted to a target binder through alchemical transformation during the simulation. The success of such simulations relies on being able to accurately sample the correct conformational phase space for each alchemical state; however, this becomes a challenge when a significant conformation change occurs between the reference and target binder-receptor complexes. Increasing the simulation time and using enhanced sampling methods can be helpful, but effects can be limited, especially when the free energy barrier between conformations is high or when the correct target complex conformation is difficult to find and maintain. Current RBFE protocols seed the reference complex structure into every alchemical window of the simulation. In our study, we describe an improved protocol in which the reference structure is seeded into the first half of the alchemical windows, and the target structure is seeded into the second half of the alchemical windows. By applying information about the relevant correct end point conformations to different simulation windows from the beginning, the need for large barrier crossings or simulation prediction of the correct structures during an alchemical simulation is in many cases obviated. In the diverse cases we examine below, the simulations yielded free energy predictions that are satisfactory as compared to experiment and superior to running the simulations utilizing the conventional protocol. The method is straightforward to implement for publicly available FEP workflows.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2024-09-27
DOI
https://doi.org/10.1021/acs.jctc.4c00954
Citations
6
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
1.40

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article

A Method for Treating Significant Conformational Changes in Alchemical Free Energy Simulations of Protein–Ligand Binding

Richard A. Friesner, Jared M. Sampson, Junzhuo Liao, Barry Honig et al.
6 citations
Journal of Chemical Theory and Computation
Protein Structure and Dynamics
1.40
article

A Method for Treating Significant Conformational Changes in Alchemical Free Energy Simulations of Protein–Ligand Binding

Richard A. Friesner, Jared M. Sampson, Junzhuo Liao, Barry Honig, Alina P. Sergeeva, Edward Harder, Lingle Wang
article en
6 citations

Abstract

Relative binding free energy (RBFE) simulation is a rigorous approach to the calculation of quantitatively accurate binding free energy values for protein-ligand binding in which a reference binder is gradually converted to a target binder through alchemical transformation during the simulation. The success of such simulations relies on being able to accurately sample the correct conformational phase space for each alchemical state; however, this becomes a challenge when a significant conformation change occurs between the reference and target binder-receptor complexes. Increasing the simulation time and using enhanced sampling methods can be helpful, but effects can be limited, especially when the free energy barrier between conformations is high or when the correct target complex conformation is difficult to find and maintain. Current RBFE protocols seed the reference complex structure into every alchemical window of the simulation. In our study, we describe an improved protocol in which the reference structure is seeded into the first half of the alchemical windows, and the target structure is seeded into the second half of the alchemical windows. By applying information about the relevant correct end point conformations to different simulation windows from the beginning, the need for large barrier crossings or simulation prediction of the correct structures during an alchemical simulation is in many cases obviated. In the diverse cases we examine below, the simulations yielded free energy predictions that are satisfactory as compared to experiment and superior to running the simulations utilizing the conventional protocol. The method is straightforward to implement for publicly available FEP workflows.

Journal of Chemical Theory and ComputationVol. 20(19)
Schrodinger (United States) (US), Columbia University Irving Medical Center (US), Columbia University (US)
Bill and Melinda Gates Foundation, National Institutes of Health
Affordable and clean energy
Openalex Percentile: Top 19%
Protein Structure and Dynamics
1.40
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