ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.
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:
- ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.
- Published In:
- Bioinformatics (Oxford, England), 38(6), 1514-1524 (2022)
- Authors:
- Wei, Lesong, Ye, Xiucai, Sakurai, Tetsuya, Mu, Zengchao, Wei, Leyi
- Database ID:
- RPEP-06586
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-06586APA
Wei, Lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi. (2022). ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.. Bioinformatics (Oxford, England), 38(6), 1514-1524. https://doi.org/10.1093/bioinformatics/btac006
MLA
Wei, Lesong, et al. "ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.." Bioinformatics (Oxford, 2022. https://doi.org/10.1093/bioinformatics/btac006
RethinkPeptides
RethinkPeptides Research Database. "ToxIBTL: prediction of peptide toxicity based on information..." RPEP-06586. Retrieved from https://rethinkpeptides.com/research/wei-2022-toxibtl-prediction-of-peptide
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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.