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Molecular Basis for Membrane Selectivity of an Antimicrobial Peptide, Magainin 2

Matsuzaki, Katsumi, Sugishita, Kenichi, Fujii, Nobutaka, Miyajima, Koichiro·1995·Biochemistry

Abstract

Magainin peptides, isolated from Xenopus skin, kill bacteria by permeabilizing their cell membranes whereas they do not lyse erythrocytes. To elucidate the rationale for this membrane selectivity, we compared the effects of the membrane lipid composition and the transmembrane potential on the membrane-lytic power of magainin 2 with that of hemolytic melittin. The activity of magainin to zwitterionic phospholipids constituting the erythrocyte surface was extremely weak compared with that of melittin, and acidic phospholipids are necessary for effective action. The presence of sterols reduced the susceptibility of the membrane to magainin. The generation of an inside-negative transmembrane potential enhanced magainin-induced hemolysis. We can conclude that the absence of any acidic phospholipids on the outer monolayer and the abundant presence of cholesterol, combined with the lack of the transmembrane potential, contribute to the protection of erythrocytes from magainin's attack.

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Metadata

Authors
Matsuzaki, K., Sugishita, K., Fujii, N., & Miyajima, K.
Venue
Biochemistry
Published
1995-03-01
Volume
34
Issue
10
Pages
3423-3429
ISSN
  • 0006-2960 (ISSN-L)
  • 1520-4995
OpenAlex
W1993791807
Cited by
419
References
0
FWCI
10.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular Basis for Membrane Selectivity of an Antimicrobial Peptide, Magainin 2. https://app.cochat.ai/papers/10.1021/bi00010a034
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Matsuzaki, K., Sugishita, K., Fujii, N., & Miyajima, K. (1995). Molecular Basis for Membrane Selectivity of an Antimicrobial Peptide, Magainin 2. Biochemistry. https://doi.org/10.1021/bi00010a034

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.