Evidence map›Paper›PMID 41376844›Full record

ArticleCurrent research in structural biology2025

Structural and mechanistic divergence in LL-37, HNP-1, and Magainin-2: An integrated computational and biophysical analysis.

Sinethemba H Yakobi, Uchechukwu U Nwodo

Abstract read
In one paragraph

Article in Current research in structural biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sinethemba H YakobiPatho-Biocatalysis Group (PBG), Department of Biochemistry and Microbiology, University of Fort Hare, Private Bag X1314, Alice, 5700, South Africa.
Uchechukwu U NwodoPatho-Biocatalysis Group (PBG), Department of Biochemistry and Microbiology, University of Fort Hare, Private Bag X1314, Alice, 5700, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escalating antimicrobial resistance necessitates the development of alternative therapeutics that circumvent conventional enzymatic and efflux-based defence systems. Antimicrobial peptides (AMPs) represent a compelling class of innate immune effectors, however, their clinical translation is hindered by incomplete mechanistic understanding of how structural organization and conformational dynamics shape antimicrobial function. In this study, we performed an integrated comparative analysis of three mechanistically representative AMPs-LL-37, HNP-1, and magainin-2-to resolve how maturation pathways, fold topology, amphipathic architecture, and dynamic target engagement govern antimicrobial action. Consensus secondary-structure prediction, AlphaFold2/PEP-FOLD modelling, and physicochemical profiling revealed three distinct structural signatures. LL-37 exhibited a flexible disorder-to-helix transition enabling adaptive, curvature-driven membrane dissolution, HNP-1 adopted a rigid cysteine-stabilized β-sheet that promotes lipid clustering and entropic inhibition of membrane-associated enzymes, and magainin-2 formed a stable amphipathic α-helix optimized for toroidal pore initiation. Machine-learning classification corroborated strong antimicrobial likelihood for HNP-1 and magainin-2, with LL-37 displaying context-dependent activation. Protein-peptide docking and normal-mode elastic network modelling further demonstrated the possibility of LL-37 allosterically dampening conformational cycling of the MexB efflux pump, HNP-1 restricting catalytic-loop mobility in LpxC, and magainin-2 enhancing correlated β-barrel breathing in OprF to promote pore formation. These findings delineate three mechanistically distinct antimicrobial strategies-adaptive membrane dissolution, rigid pore-stacking inhibition, and dynamic pore initiation-linked directly to peptide structural organization. This framework provides a rational basis for mechanism-guided AMP optimization and the engineering of next-generation membrane-active therapeutics with reduced resistance susceptibility.

Indexed as

Antimicrobial peptidesHNP-1LL-37Magainin-2Membrane disruptionStructural dynamics

Identifiers

PMID41376844
PMCPMC12686798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.