Structure-aware deep learning model for peptide toxicity prediction.
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What This Study Found
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Trust & Context
- Original Title:
- Structure-aware deep learning model for peptide toxicity prediction.
- Published In:
- Protein science : a publication of the Protein Society, 33(7), e5076 (2024)
- Authors:
- Ebrahimikondori, Hossein, Sutherland, Darcy, Yanai, Anat, Richter, Amelia, Salehi, Ali, Li, Chenkai, Coombe, Lauren, Kotkoff, Monica, Warren, René L, Birol, Inanc
- Database ID:
- RPEP-08138
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-08138APA
Ebrahimikondori, Hossein; Sutherland, Darcy; Yanai, Anat; Richter, Amelia; Salehi, Ali; Li, Chenkai; Coombe, Lauren; Kotkoff, Monica; Warren, René L; Birol, Inanc. (2024). Structure-aware deep learning model for peptide toxicity prediction.. Protein science : a publication of the Protein Society, 33(7), e5076. https://doi.org/10.1002/pro.5076
MLA
Ebrahimikondori, Hossein, et al. "Structure-aware deep learning model for peptide toxicity prediction.." Protein science : a publication of the Protein Society, 2024. https://doi.org/10.1002/pro.5076
RethinkPeptides
RethinkPeptides Research Database. "Structure-aware deep learning model for peptide toxicity pre..." RPEP-08138. Retrieved from https://rethinkpeptides.com/research/ebrahimikondori-2024-structureaware-deep-learning-model
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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.