De novo design of self-assembling peptides with antimicrobial activity guided by deep learning.

Liu, Huayang et al.·Nature materials·2025·
RPEP-122102025RETHINKTHC 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:
De novo design of self-assembling peptides with antimicrobial activity guided by deep learning.
Published In:
Nature materials, 24(8), 1295-1306 (2025)
Database ID:
RPEP-12210

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-12210·https://rethinkpeptides.com/research/RPEP-12210

APA

Liu, Huayang; Song, Zilin; Zhang, Yu; Wu, Bihan; Chen, Dinghao; Zhou, Ziao; Zhang, Hongyue; Li, Sangshuang; Feng, Xinping; Huang, Jing; Wang, Huaimin. (2025). De novo design of self-assembling peptides with antimicrobial activity guided by deep learning.. Nature materials, 24(8), 1295-1306. https://doi.org/10.1038/s41563-025-02164-3

MLA

Liu, Huayang, et al. "De novo design of self-assembling peptides with antimicrobial activity guided by deep learning.." Nature materials, 2025. https://doi.org/10.1038/s41563-025-02164-3

RethinkPeptides

RethinkPeptides Research Database. "De novo design of self-assembling peptides with antimicrobia..." RPEP-12210. Retrieved from https://rethinkpeptides.com/research/liu-2025-de-novo-design-of

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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.