Breaking disulfide bonds in a weakly bactericidal α-defensin unleashes a potent antimicrobial peptide with an altered conformation.

Luo, Gan et al.·PLoS pathogens·2026·
RPEP-156142026RETHINKTHC 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:
Breaking disulfide bonds in a weakly bactericidal α-defensin unleashes a potent antimicrobial peptide with an altered conformation.
Published In:
PLoS pathogens, 22(2), e1013954 (2026)
Database ID:
RPEP-15614

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
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Cite This Study

RPEP-15614·https://rethinkpeptides.com/research/RPEP-15614

APA

Luo, Gan; Zhao, Mingzhu; Wang, Qingxia; Zhou, Yang; Yao, Dan; Zhang, Jue; Wang, Gang; Zhang, Junjie; Liao, Chongbing; Lu, Wuyuan. (2026). Breaking disulfide bonds in a weakly bactericidal α-defensin unleashes a potent antimicrobial peptide with an altered conformation.. PLoS pathogens, 22(2), e1013954. https://doi.org/10.1371/journal.ppat.1013954

MLA

Luo, Gan, et al. "Breaking disulfide bonds in a weakly bactericidal α-defensin unleashes a potent antimicrobial peptide with an altered conformation.." PLoS pathogens, 2026. https://doi.org/10.1371/journal.ppat.1013954

RethinkPeptides

RethinkPeptides Research Database. "Breaking disulfide bonds in a weakly bactericidal α-defensin..." RPEP-15614. Retrieved from https://rethinkpeptides.com/research/luo-2026-breaking-disulfide-bonds-in

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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.