Computational simulation study reveals negative membrane curvature and POPG recruitment in anionic lipid bilayers, suggesting early biophysical mechanisms driving antimicrobial action.
Antimicrobial peptides (AMPs) constitute an important class of antibacterial molecules whose mechanisms of action remain incompletely understood. Among the different stages of peptide-membrane interaction, membrane curvature has been recognized as a key physicochemical event associated with antimicrobial activity. Understanding how this curvature emerges during the early stages of peptide binding is therefore of considerable biological interest. In the present work, coarse-grained molecular dynamics simulations were used to investigate the curvature generated by the cationic peptide Magainin-2 during its surface-bound interaction with an anionic POPC:POPG (3:1) membrane. The results indicate a reproducible bias toward negative membrane curvature that Magainin-2 promotes while remaining in the surface-bound state. Simulations performed in the absence of peptide showed no comparable curvature bias. In peptide-containing systems, modest but consistent POPG recruitment was observed in the regions associated with membrane bending, suggesting a coupling between electrostatic lipid recruitment and local curvature bias. These findings provide computational evidence of membrane organization perturbation in surface-bound peptide interactions, before peptide insertion, contributing to the understanding of the early biophysical events involved in antimicrobial peptide activity.
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Lúcio Otávio Nunes (2026) studied this question.
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