Docking Simulations of G-Protein Coupled Receptors Uncover Crossover Binding Patterns of Diverse Ligands to Angiotensin, Alpha-Adrenergic and Opioid Receptors: Implications for Cardiovascular Disease and Addiction.

Ridgway, Harry et al.·Biomolecules·2025·lowcomputational
RPEP-13264Computationallow2025RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
computational
Evidence
low
Sample
N=Not applicable (computational study)
Participants
Computer models of G-protein coupled receptors

What This Study Found

Molecular docking showed angiotensin receptor blockers bind to opioid and adrenergic receptors with higher affinity than their native ligands, suggesting potential therapeutic applications in addiction and hypertension.

Key Numbers

ARBs showed higher binding affinity for mu- and delta-opioid receptors than fentanyl and naltrexone. ARBs partially reduced (20-50%) contractile responses to phenylephrine at very low concentrations. MD simulations stable over nanosecond timescales.

How They Did This

Virtual ligand screening (docking) and molecular dynamics simulations for ARBs, opioids, and adrenergic ligands at AT1R, alpha-1AR, alpha-2AR, mu-opioid, and delta-opioid receptors.

Why This Research Matters

If blood pressure drugs can block opioid receptors, they might help treat opioid addiction. This computational finding needs laboratory confirmation but could repurpose existing medications.

What This Study Doesn't Tell Us

Entirely computational. Binding affinity predictions need experimental confirmation. In silico docking scores do not guarantee functional effects. No in vivo or clinical data.

Trust & Context

Original Title:
Docking Simulations of G-Protein Coupled Receptors Uncover Crossover Binding Patterns of Diverse Ligands to Angiotensin, Alpha-Adrenergic and Opioid Receptors: Implications for Cardiovascular Disease and Addiction.
Published In:
Biomolecules, 15(6) (2025)
Database ID:
RPEP-13264

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
What do these levels mean? →

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Cite This Study

RPEP-13264·https://rethinkpeptides.com/research/RPEP-13264

APA

Ridgway, Harry; Moore, Graham J; Gadanec, Laura Kate; Matsoukas, John M. (2025). Docking Simulations of G-Protein Coupled Receptors Uncover Crossover Binding Patterns of Diverse Ligands to Angiotensin, Alpha-Adrenergic and Opioid Receptors: Implications for Cardiovascular Disease and Addiction.. Biomolecules, 15(6). https://doi.org/10.3390/biom15060855

MLA

Ridgway, Harry, et al. "Docking Simulations of G-Protein Coupled Receptors Uncover Crossover Binding Patterns of Diverse Ligands to Angiotensin, Alpha-Adrenergic and Opioid Receptors: Implications for Cardiovascular Disease and Addiction.." Biomolecules, 2025. https://doi.org/10.3390/biom15060855

RethinkPeptides

RethinkPeptides Research Database. "Docking Simulations of G-Protein Coupled Receptors Uncover C..." RPEP-13264. Retrieved from https://rethinkpeptides.com/research/ridgway-2025-docking-simulations-of-gprotein

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.