Evidence map›Paper›PMID 40675901›Full record

ReviewTrends in biochemical sciences2025

Molecular mimicry: ecology, evolution, and applications of doppelgänger peptides.

Thomas L Koch, Samuel D Robinson, Helena Safavi-Hemami

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2025. 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. Toxins in disguise: Neuropeptide mimicry across animal venoms.General and comparative endocrinology · 2026
    Review
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

3 authors.

Thomas L KochDepartment of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA; Department of Biomedical Sciences, University of Copenhagen, Copenhagen N 2200, Denmark. Electronic address: thomas.lund.koch@gmail.com.
Samuel D RobinsonInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia.
Helena Safavi-HemamiDepartment of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA; School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA; Department of Molecular Pharmaceutics, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: helena.safavi@utah.edu.

Funding

Discovery and design of novel insulin evologs from venomous marine cone snailsR01DK139317 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Helena Safavi-Hemami · 2024 to 2026
$1.1M
NIDDK NIH HHS R01 DK139317
6 · The paper itself

Abstract

Organisms engage in chemical interactions that drive cooperation, conflict, natural selection, and adaptation. Among these, doppelgänger peptides (molecular mimics of the endogenous hormones or neuropeptides of another organism) have evolved in many venomous and poisonous organisms, and some parasites and pathogens. While the discovery of these peptides has been largely anecdotal, a surge in sequence data combined with computational tools suggests they are more prevalent than previously recognized. Beyond their significance in biology, emerging techniques for studying cellular signaling and a renewed interest in peptide-based therapeutics position these molecules as candidates for translational applications. In this review, we explore the role of doppelgänger peptides in chemical ecology, molecular evolution, and medicine, and provide new perspectives to guide future research.

Indexed as

Evolution, MolecularMolecular MimicryNeuropeptidesPeptidesAnimalsEcologyHumansNeuropeptidesPeptideshormoneneuropeptidesemiochemicalstoxinvenom

Identifiers

PMID40675901
PMCPMC12962067

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.