Core Flipping in Lead Optimization: Rank Ordering Using λ-Dynamics

In structure-based drug discovery, reliable structural models of ligands bound to their target receptors are critical for establishing the structure-activity relationship of the congeneric series. In such a series, substitutions on a common scaffold core might lead to different binding modes, ranging from slight changes of orientations to flipping or inversion of the core structure. Moreover, molecular docking might lead to alternative orientations within the top-ranked poses without being able to discriminate which is most likely. To determine the relative binding affinities between two alternative ligand poses, we propose a methodology based on relative binding free energy calculations using the λ-dynamics method. We used a dual-topology approach with distance-restraining schemes. We introduced a novel strategy using a one-step perturbation to calculate the contributions of the applied restraints. While using FEP/MBAR instead for that purpose led to smaller uncertainties, it suffered from convergence issues. We tested the validity and predictive power of our approach using two pharmaceutically relevant targets and eight small-molecule inhibitors from the experimentally characterized congeneric series. For each target, our approach correctly ranks the known X-ray poses as more favorable than alternative flipped poses. The proposed methodology can be easily extended to rank more than two poses and should also be applicable to the evaluation of alternative rotamers of target amino acids.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-06-16
DOI
https://doi.org/10.1021/acs.jcim.5c00320
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Core Flipping in Lead Optimization: Rank Ordering Using λ-Dynamics

Charles L. Brooks, Nathalie Reuter, Parveen Gartan
Journal of Chemical Information and Modeling
Protein Structure and Dynamics
article

Core Flipping in Lead Optimization: Rank Ordering Using λ-Dynamics

Charles L. Brooks, Nathalie Reuter, Parveen Gartan
article en

Abstract

In structure-based drug discovery, reliable structural models of ligands bound to their target receptors are critical for establishing the structure-activity relationship of the congeneric series. In such a series, substitutions on a common scaffold core might lead to different binding modes, ranging from slight changes of orientations to flipping or inversion of the core structure. Moreover, molecular docking might lead to alternative orientations within the top-ranked poses without being able to discriminate which is most likely. To determine the relative binding affinities between two alternative ligand poses, we propose a methodology based on relative binding free energy calculations using the λ-dynamics method. We used a dual-topology approach with distance-restraining schemes. We introduced a novel strategy using a one-step perturbation to calculate the contributions of the applied restraints. While using FEP/MBAR instead for that purpose led to smaller uncertainties, it suffered from convergence issues. We tested the validity and predictive power of our approach using two pharmaceutically relevant targets and eight small-molecule inhibitors from the experimentally characterized congeneric series. For each target, our approach correctly ranks the known X-ray poses as more favorable than alternative flipped poses. The proposed methodology can be easily extended to rank more than two poses and should also be applicable to the evaluation of alternative rotamers of target amino acids.

Journal of Chemical Information and ModelingVol. 65(13)
University of Michigan (US), University of Bergen (NO)
Norges Forskningsråd, National Institute of General Medical Sciences
Openalex Percentile: Top 87%
Protein Structure and Dynamics
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