Evidence map›Paper›PMID 42530676›Full record

ArticleJournal of computer-aided molecular design2026

Design of a metabolically-stable peptide therapeutic with triple-hormone-receptor agonist activity.

Shubham Vishnoi, Sarah Hudson, Shayon Bhattacharya, Damien Thompson

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shubham VishnoiDepartment of Physics, SSPC the Research Ireland Centre for Pharmaceuticals, Bernal Institute, University of Limerick, Limerick, V94 T9PX, Ireland.
Sarah HudsonDepartment of Chemical Sciences, SSPC the Research Ireland Centre for Pharmaceuticals, Bernal Institute, University of Limerick, Limerick, V94 T9PX, Ireland.
Shayon BhattacharyaDepartment of Biological Sciences, SSPC the Research Ireland Centre for Pharmaceuticals, Bernal Institute, University of Limerick, Limerick, V94 T9PX, Ireland. shayon.bhattacharya@ul.ie.
Damien ThompsonDepartment of Physics, SSPC the Research Ireland Centre for Pharmaceuticals, Bernal Institute, University of Limerick, Limerick, V94 T9PX, Ireland. damien.thompson@ul.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptide-based therapeutics such as tirzepatide and semaglutide target the neuroendocrine system to remediate both diabetes and obesity. In addition to integrating the complementary actions of two endogenous metabolically related hormones targeting glucagon-like peptide-1 and glucagon receptors (GLP-1R and GCGR), the synergistic targeting of a third G protein-coupled receptor (GPCR), namely the gastric inhibitory polypeptide receptor (GIPR), may achieve optimal control of blood glucose levels and weight loss in patients with diabetes and obesity. In this work, we harness the predictive power of sequence-derived in silico mutagenesis to rationally design effective single-molecule peptides with triple-receptor-agonist activities. We model the binding profiles of our designed peptides to the GIP, GLP-1 and GCG receptor triad through multiple, long, repeat molecular simulations and effective binding enthalpy calculations to assess their predicted multi-receptor engagement profiles. Our data predict a balanced, highly favourable effective binding enthalpy profile of our newly designed peptides for the three receptors compared to endogenous peptides and the experimental reference peptides, with high targeted specificity for the receptors. The peptides are further engineered to structurally support metabolic stability by substituting sites prone to proteolytic cleavage. The predicted triple-hormone-receptor agonist peptide mechanism opens new avenues for the synthesis and activity testing of multi-targeting peptides with improved stability, offering a computational design strategy for testing the potential reduction of adverse gastrointestinal effects of peptide therapeutics and support future development of lower-dose oral formulations.

Indexed as

Drug DesignPeptidesReceptors, Gastrointestinal HormoneReceptors, GlucagonGastric Inhibitory PolypeptideGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsGlucagon-Like PeptidesHumansProtein BindingSemaglutideThermodynamicsTirzepatideGastric Inhibitory Polypeptidegastric inhibitory polypeptide receptorGlucagon-Like Peptide 1Glucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsGlucagon-Like PeptidesPeptidesReceptors, Gastrointestinal HormoneReceptors, GlucagonSemaglutideTirzepatideDiabetesGLP-1G protein-coupled receptor (GPCR) modellingPeptide-based therapeuticsPeptide drug designPolypharmacyTriple agonist

Identifiers

PMID42530676
PMCPMC13424190

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.