Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.

Bibi, Rimsha et al.·PloS one·2025·
RPEP-101532025RETHINKTHC 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:
Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.
Published In:
PloS one, 20(7), e0327578 (2025)
Database ID:
RPEP-10153

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-10153·https://rethinkpeptides.com/research/RPEP-10153

APA

Bibi, Rimsha; Qasmi, Noshaba; Rashid, Sajid. (2025). Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.. PloS one, 20(7), e0327578. https://doi.org/10.1371/journal.pone.0327578

MLA

Bibi, Rimsha, et al. "Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.." PloS one, 2025. https://doi.org/10.1371/journal.pone.0327578

RethinkPeptides

RethinkPeptides Research Database. "Cysteine pattern barcoding-based dataset filtration enhances..." RPEP-10153. Retrieved from https://rethinkpeptides.com/research/bibi-2025-cysteine-pattern-barcodingbased-dataset

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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.