Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.
Quick Facts
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)
- Authors:
- Bibi, Rimsha, Qasmi, Noshaba, Rashid, Sajid
- Database ID:
- RPEP-10153
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-10153APA
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.