Membrane Composition Modulates Vp54 Binding: A Combined Experimental and Computational Study

The recruitment of peripheral membrane proteins is tightly regulated by membrane lipid composition and local electrostatic microenvironments. Our experimental observations revealed that Vp54, a viral matrix protein, exhibited preferential binding to lipid bilayers enriched in anionic lipids such as phosphatidylglycerol (PG) and phosphatidylserine (PS), compared to neutral phosphatidylcholine/phosphatidylethanolamine liposomes, and this occurred in a curvature-dependent manner. To elucidate the molecular basis of this selective interaction, we performed a series of computational analyses including helical wheel projection, electrostatic potential calculations, electric field lines simulations, and electrostatic force analysis. Our results showed that the membrane-proximal region of Vp54 adopted an amphipathic α-helical structure with a positively charged interface. In membranes containing PG or PS, electrostatic potentials at the interface were significantly more negative, enhancing attraction with Vp54. Field line and force analyses further confirmed that both the presence and spatial clustering of anionic lipids intensify membrane-Vp54 electrostatic interactions. These computational findings align with experimental binding data, jointly demonstrating that membrane lipid composition and organization critically modulate Vp54 recruitment. Together, our findings highlight the importance of electrostatic complementarity and membrane heterogeneity in peripheral protein targeting and provide a framework applicable to broader classes of membrane-binding proteins.

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Publication Details

Journal
Pathogens
Published
2025-10-03
DOI
https://doi.org/10.3390/pathogens14101000
Citations
1
Primary Topic
Cellular transport and secretion
Type
article
Field-Weighted Citation Impact
1.15
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article

Membrane Composition Modulates Vp54 Binding: A Combined Experimental and Computational Study

Wayne R. Riekhof, Jason E. Sanchez, Wenhan Guo, Irina V. Agarkova et al.
1 citations
Pathogens
Cellular transport and secretion
1.15
article

Membrane Composition Modulates Vp54 Binding: A Combined Experimental and Computational Study

Wayne R. Riekhof, Jason E. Sanchez, Wenhan Guo, Irina V. Agarkova, Daniel G. S. Capelluto, Rui Dong, David D. Dunigan, James L. Van Etten, Chuan Xiao, Ayoyinka O. Okedigba, Elea-Maria Abisamra, Lin Li, Andrew Jelinsky, Laila Noor
article en
1 citations

Abstract

The recruitment of peripheral membrane proteins is tightly regulated by membrane lipid composition and local electrostatic microenvironments. Our experimental observations revealed that Vp54, a viral matrix protein, exhibited preferential binding to lipid bilayers enriched in anionic lipids such as phosphatidylglycerol (PG) and phosphatidylserine (PS), compared to neutral phosphatidylcholine/phosphatidylethanolamine liposomes, and this occurred in a curvature-dependent manner. To elucidate the molecular basis of this selective interaction, we performed a series of computational analyses including helical wheel projection, electrostatic potential calculations, electric field lines simulations, and electrostatic force analysis. Our results showed that the membrane-proximal region of Vp54 adopted an amphipathic α-helical structure with a positively charged interface. In membranes containing PG or PS, electrostatic potentials at the interface were significantly more negative, enhancing attraction with Vp54. Field line and force analyses further confirmed that both the presence and spatial clustering of anionic lipids intensify membrane-Vp54 electrostatic interactions. These computational findings align with experimental binding data, jointly demonstrating that membrane lipid composition and organization critically modulate Vp54 recruitment. Together, our findings highlight the importance of electrostatic complementarity and membrane heterogeneity in peripheral protein targeting and provide a framework applicable to broader classes of membrane-binding proteins.

PathogensVol. 14(10)
University of Nebraska–Lincoln (US), The University of Texas at El Paso (US), Virginia Tech (US)
Openalex Percentile: Top 19%
Cellular transport and secretion
1.15
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