Accurate Prediction of Core-Hopping Transformations Using Molecular Dynamics-Derived Conformational Ensembles: Application to the Discovery of Novel P2X3 Antagonists

Traditional three-dimensional core-hopping methods aim to substitute the central core of a reference ligand conformer with alternative scaffolds that exhibit similar pharmacophoric features. As such, these algorithms are not trained to perceive the effect of a new core on the conformational equilibrium of ligand substituents. With the aim of evaluating the ability of a new scaffold to preserve the conformational dynamics of the reference compound, we developed DynaCore, a novel bespoke algorithm designed to compute the similarity of conformer ensembles collected from molecular dynamics simulations of a ligand before and after core replacement. DynaCore was subsequently used to prospectively design novel P2X3 antagonists using privileged fragments from previous medicinal chemistry campaigns. The algorithm recapitulated known conformation-activity relationships and successfully distinguished new scaffold replacements that retained or abolished ligand potency, leading to the identification of multiple potent hit series. DynaCore can potentially be applied to any compound pair sharing a common set of substituents.

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Publication Details

Journal
Journal of Medicinal Chemistry
Published
2026-03-11
DOI
https://doi.org/10.1021/acs.jmedchem.5c02642
Primary Topic
Adenosine and Purinergic Signaling
Type
article
Field-Weighted Citation Impact
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article

Accurate Prediction of Core-Hopping Transformations Using Molecular Dynamics-Derived Conformational Ensembles: Application to the Discovery of Novel P2X3 Antagonists

Gary S. Clark, Kim L. Hirst, Hervé Van de Poël, Matteo Biagetti et al.
Journal of Medicinal Chemistry
Adenosine and Purinergic Signaling
article

Accurate Prediction of Core-Hopping Transformations Using Molecular Dynamics-Derived Conformational Ensembles: Application to the Discovery of Novel P2X3 Antagonists

Gary S. Clark, Kim L. Hirst, Hervé Van de Poël, Matteo Biagetti, Daniela Pizzirani, Paolo Ronchi, Daniele Pala, Claudio Fiorelli, Luca Carlino, Barbara Pioselli, Elena Picchi, Paolo Bruno, Charles Baker-Glenn
article en

Abstract

Traditional three-dimensional core-hopping methods aim to substitute the central core of a reference ligand conformer with alternative scaffolds that exhibit similar pharmacophoric features. As such, these algorithms are not trained to perceive the effect of a new core on the conformational equilibrium of ligand substituents. With the aim of evaluating the ability of a new scaffold to preserve the conformational dynamics of the reference compound, we developed DynaCore, a novel bespoke algorithm designed to compute the similarity of conformer ensembles collected from molecular dynamics simulations of a ligand before and after core replacement. DynaCore was subsequently used to prospectively design novel P2X3 antagonists using privileged fragments from previous medicinal chemistry campaigns. The algorithm recapitulated known conformation-activity relationships and successfully distinguished new scaffold replacements that retained or abolished ligand potency, leading to the identification of multiple potent hit series. DynaCore can potentially be applied to any compound pair sharing a common set of substituents.

Journal of Medicinal ChemistryVol. 69(6)
Charles River Laboratories (United Kingdom) (GB), Global BioClinical (United States) (US), Chiesi (France) (FR)
Openalex Percentile: Top 25%
Adenosine and Purinergic Signaling
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