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Mapping partial agonism of mitragynine at the µ-opioid receptor through molecular dynamics and Markov state modelling analysis


Citation

Bahari, Mohammad Nazri Abdul and Azmi, Liyana and Fei, Low Chen and Syahir, Amir and Perimal, Enoch and Manaf, Asrulnizam Abd and Jamali, Muhamad Arif Mohamad (2026) Mapping partial agonism of mitragynine at the µ-opioid receptor through molecular dynamics and Markov state modelling analysis. Scientific Reports, 16 (1). art. no. 12528. pp. 1-11. ISSN 2045-2322

Abstract

Mitragynine, a major indole alkaloid from Mitragyna speciosa (kratom), acts as a partial agonist at the µ-opioid receptor (µOR), yet the structural basis for its submaximal efficacy remains unclear. Here, we integrate microsecond-scale all-atom molecular dynamics (MD) simulations with Markov State Modelling (MSM) to probe how mitragynine modulates µOR conformational landscapes and kinetics versus a morphine-bound control. MD in explicit POPC bilayers quantified backbone stability, residue-level flexibility, global compactness, and hydrogen bonding. MMPBSA calculations indicated favourable binding for both ligands, with a more negative ΔG_bind for mitragynine (–16.3 ± 5.1 kcal mol⁻¹) than morphine (–10.8 ± 4.2 kcal mol⁻¹). MSMs built on TM3–TM6 separations, DRY/NPxxY χ₁ torsions, and ICL distances revealed distinct energy landscapes: morphine stabilised a deep active-like basin, whereas mitragynine broadened sampling of intermediate basins and reduced occupancy of fully active conformations. Kinetic analysis showed shorter intermediate→open transition times for morphine (hundreds of nanoseconds) but markedly longer, microsecond-scale transitions for mitragynine, yielding macrostate populations enriched in intermediates for mitragynine and in closed/open states for morphine. Together, these data provide a mechanistic explanation for mitragynine’s partial, G-protein-biased agonism at µOR and a quantitative framework to guide the design of biased µOR ligands.


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Official URL or Download Paper: https://www.nature.com/articles/s41598-026-43251-y

Additional Metadata

Item Type: Article
Subject: Multidisciplinary
Divisions: Faculty of Biotechnology and Biomolecular Sciences
DOI Number: https://doi.org/10.1038/s41598-026-43251-y
Publisher: Nature Research
Keywords: Markov state modelling analysis; Mitragynine; Molecular dynamics simulation; Partial agonist; Μ-opioid receptor
Sustainable Development Goals (SDGs): SDG 3: Good Health and Well-being, SDG 12: Responsible Consumption and Production, SDG 9: Industry, Innovation and Infrastructure
Depositing User: Ms. Siti Radziah Mohamed@mahmod
Date Deposited: 06 May 2026 07:28
Last Modified: 06 May 2026 07:28
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1038/s41598-026-43251-y
URI: http://psasir.upm.edu.my/id/eprint/125285
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