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LL-37

Cathelicidin, hCAP-18, FALL-39, CAP-18

Quick Stats
Studies 2230
Trials 95
Score 2
2025 pubmed

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

Yakobi. Sinethemba H SH; Nwodo. Uchechukwu U UU

Key Findings

  • LL‑37 shows a flexible disorder‑to‑helix transition that enables adaptive membrane dissolution
  • HNP‑1 adopts a rigid cysteine‑stabilized β‑sheet that clusters lipids and inhibits membrane‑associated enzymes
  • Magainin‑2 forms a stable amphipathic α‑helix optimized for toroidal pore initiation

Practical Outcomes

  • The findings are mainly mechanistic and don’t translate into immediate supplement protocols. They suggest that peptide structure can be tuned for specific antimicrobial actions, but safety, dosing, and real‑world efficacy for LL‑37 or the others remain untested for self‑experimentation.

Summary

Scientists compared three antimicrobial peptides—LL‑37, HNP‑1 and magainin‑2—and found each kills microbes in a different way: LL‑37 flexibly folds into a helix to tear membranes, HNP‑1 stays rigid to cluster lipids and block enzymes, and magainin‑2 forms stable helices that punch pores. The work helps design better peptide drugs but doesn’t give direct dosage or usage tips for everyday biohackers.

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.

Study Information

Provider

pubmed

Year

2025

Date

2025-11-22T00:00:00.000Z

DOI

10.1016/j.crstbi.2025.100176

References

29