Evidence map›Paper›PMID 41794923›Full record

ArticleScientific reports2026

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

Mohammad Nazri Abdul Bahari, Liyana Azmi, Low Chen Fei, Amir Syahir, Enoch Perimal, Asrulnizam Abd Manaf, Muhamad Arif Mohamad Jamali

Abstract read
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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mohammad Nazri Abdul BahariCollaborative Microelectronic Design Excellence Center (CEDEC), Universiti Sains Malaysia, No. 10, Persiaran Bukit Jambul, 11900, Bayan Lepas, Pulau Pinang, Malaysia.
Liyana AzmiFaculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia.
Low Chen FeiInstitute of Systems Biology, Universiti Kebangsaan Malaysia (UKM), 43600, Bangi, Selangor, Malaysia.
Amir SyahirNanobiotechnology Research Group, Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia.
Enoch PerimalCurtin Medical School, Faculty of Health Sciences, Curtin University, Kent St, Bentley, WA, 6102, Australia.
Asrulnizam Abd ManafCollaborative Microelectronic Design Excellence Center (CEDEC), Universiti Sains Malaysia, No. 10, Persiaran Bukit Jambul, 11900, Bayan Lepas, Pulau Pinang, Malaysia.
Muhamad Arif Mohamad JamaliFaculty of Science and Technology, Universiti Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia. arifjamali@usim.edu.my.

Funding

Ministry of Higher Education, Malaysia, Fundamental Research Grant Scheme - Early Career (FRGS-EC) FRGS-EC/1/2024/STG01/USIM/03/3
6 · The paper itself

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.

Indexed as

Drug Partial AgonismMolecular Dynamics SimulationReceptors, Opioid, muSecologanin Tryptamine AlkaloidsHumansHydrogen BondingKineticsLigandsMarkov ChainsMorphineProtein BindingLigandsmitragynineMorphineReceptors, Opioid, muSecologanin Tryptamine AlkaloidsMarkov state modelling analysisMitragynineMolecular dynamics simulationPartial agonistµ-opioid receptor

Identifiers

PMID41794923
PMCPMC13086859

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.