Structure-aware deep learning model for peptide toxicity prediction.

Ebrahimikondori, Hossein et al.·Protein science : a publication of the Protein Society·2024·
RPEP-081382024RETHINKTHC 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:
Structure-aware deep learning model for peptide toxicity prediction.
Published In:
Protein science : a publication of the Protein Society, 33(7), e5076 (2024)
Database ID:
RPEP-08138

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
What do these levels mean? →

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Cite This Study

RPEP-08138·https://rethinkpeptides.com/research/RPEP-08138

APA

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.