Modelling G protein-biased agonism using GLP-1 receptor C-terminal mutations.

Tran, Hanh Duyen et al.·Molecular metabolism·2026·
RPEP-162732026RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Not classified
Evidence
Not graded
Sample
Not reported

What This Study Found

Key Numbers

How They Did This

Why This Research Matters

What This Study Doesn't Tell Us

Trust & Context

Original Title:
Modelling G protein-biased agonism using GLP-1 receptor C-terminal mutations.
Published In:
Molecular metabolism, 105, 102321 (2026)
Database ID:
RPEP-16273

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
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Cite This Study

RPEP-16273·https://rethinkpeptides.com/research/RPEP-16273

APA

Tran, Hanh Duyen; Zuo, Yiming; Wong, Carissa; Pollard, Alice; Bloom, Steve; Jones, Ben. (2026). Modelling G protein-biased agonism using GLP-1 receptor C-terminal mutations.. Molecular metabolism, 105, 102321. https://doi.org/10.1016/j.molmet.2026.102321

MLA

Tran, Hanh Duyen, et al. "Modelling G protein-biased agonism using GLP-1 receptor C-terminal mutations.." Molecular metabolism, 2026. https://doi.org/10.1016/j.molmet.2026.102321

RethinkPeptides

RethinkPeptides Research Database. "Modelling G protein-biased agonism using GLP-1 receptor C-te..." RPEP-16273. Retrieved from https://rethinkpeptides.com/research/tran-2026-modelling-g-proteinbiased-agonism

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