Identification of antimicrobial peptides from the human gut microbiome using deep learning.

Ma, Yue et al.·Nature biotechnology·2022·
RPEP-063402022RETHINKTHC 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:
Identification of antimicrobial peptides from the human gut microbiome using deep learning.
Published In:
Nature biotechnology, 40(6), 921-931 (2022)
Database ID:
RPEP-06340

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-06340·https://rethinkpeptides.com/research/RPEP-06340

APA

Ma, Yue; Guo, Zhengyan; Xia, Binbin; Zhang, Yuwei; Liu, Xiaolin; Yu, Ying; Tang, Na; Tong, Xiaomei; Wang, Min; Ye, Xin; Feng, Jie; Chen, Yihua; Wang, Jun. (2022). Identification of antimicrobial peptides from the human gut microbiome using deep learning.. Nature biotechnology, 40(6), 921-931. https://doi.org/10.1038/s41587-022-01226-0

MLA

Ma, Yue, et al. "Identification of antimicrobial peptides from the human gut microbiome using deep learning.." Nature biotechnology, 2022. https://doi.org/10.1038/s41587-022-01226-0

RethinkPeptides

RethinkPeptides Research Database. "Identification of antimicrobial peptides from the human gut ..." RPEP-06340. Retrieved from https://rethinkpeptides.com/research/ma-2022-identification-of-antimicrobial-peptides

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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.