Identification of Subtype-Selective Binding Sites in the Opioid Receptor Family

Selectivity is essential in drug discovery for finding or developing more effective opioid modulators. Structure-based approaches and binding kinetics effectively identify potential druggable regions and determine ligand candidates for improved therapies. In this study, we combined molecular dynamics simulations and funnel-metadynamics with charge density analyses to identify unique structural aspects of the main opioid receptors (ORs), including the mu (μOR), delta (δOR), and kappa (κOR). We found distinct conformational dynamics between the receptors, with the κOR extracellular vestibule tending to form a lid that covers its orthosteric site. Furthermore, we investigated how morphinan-scaffold ligands with distinct pharmacological effects bind to OR orthosteric sites and extracellular vestibules, identifying intermediate ligand states. The lowest-energy states of each complex reproduced the morphinan-like orientation revealed by experimental structures and experimental free energy of binding. Moreover, we determined the role of orthosteric subpockets and extracellular loops (ECLs) in stabilizing ligand-bound states, shedding light on ligand selectivity. Our results provide a detailed description, from an energetic perspective, of the conformational dynamics and structure-based selectivity determination within the OR family. These regions can be rationally targeted for designing and developing functionally selective opioid modulators with improved pharmacological effects in pain treatment or other OR-related diseases.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-04-03
DOI
https://doi.org/10.1021/acs.jcim.5c02403
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Subtype-Selective Binding Sites in the Opioid Receptor Family

Christian Jelsch, Jesús Giraldo, Benoît Guillot, Antoniel A. S. Gomes
Journal of Chemical Information and Modeling
Receptor Mechanisms and Signaling
article

Identification of Subtype-Selective Binding Sites in the Opioid Receptor Family

Christian Jelsch, Jesús Giraldo, Benoît Guillot, Antoniel A. S. Gomes
article en

Abstract

Selectivity is essential in drug discovery for finding or developing more effective opioid modulators. Structure-based approaches and binding kinetics effectively identify potential druggable regions and determine ligand candidates for improved therapies. In this study, we combined molecular dynamics simulations and funnel-metadynamics with charge density analyses to identify unique structural aspects of the main opioid receptors (ORs), including the mu (μOR), delta (δOR), and kappa (κOR). We found distinct conformational dynamics between the receptors, with the κOR extracellular vestibule tending to form a lid that covers its orthosteric site. Furthermore, we investigated how morphinan-scaffold ligands with distinct pharmacological effects bind to OR orthosteric sites and extracellular vestibules, identifying intermediate ligand states. The lowest-energy states of each complex reproduced the morphinan-like orientation revealed by experimental structures and experimental free energy of binding. Moreover, we determined the role of orthosteric subpockets and extracellular loops (ECLs) in stabilizing ligand-bound states, shedding light on ligand selectivity. Our results provide a detailed description, from an energetic perspective, of the conformational dynamics and structure-based selectivity determination within the OR family. These regions can be rationally targeted for designing and developing functionally selective opioid modulators with improved pharmacological effects in pain treatment or other OR-related diseases.

Journal of Chemical Information and ModelingVol. 66(8)
Universitat Autònoma de Barcelona (ES), Instituto de Salud Carlos III (ES), Centro de Investigación Biomédica en Red de Salud Mental (ES), Université des Sciences, des Techniques et des Technologies de Bamako (ML), Corporació Sanitària Parc Taulí (ES), Institute of Research and Innovation Parc Tauli (ES), Université de Lorraine (FR)
Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 32%
Receptor Mechanisms and Signaling
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