ReVesicle: Curation and Equilibration of Lipid Vesicles for Mesoscale Simulations

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Authors: Matteo Castelli, Lorenzo Casalino, Rommie E. Amaro
Cited by: 2
References: 65

Abstract

, an iterative equilibration protocol designed to restore and stabilize quasi-spherical lipid vesicles with complex compositions and large dimensions. The proposed protocol combines selective identification and removal of infiltrated water molecules and flipped lipids with short nonequilibrium MD cycles and anisotropic pressure equilibration. These steps are organized into a modular, iterative sequence that progressively recovers bilayer continuity while preserving the vesicle geometry and enabling global density relaxation. Local vacuum-induced stress generated during nonequilibrium phases promotes lipid tail melting and hole curation, while anisotropic equilibration allows relaxation of box dimensions and system density. To demonstrate the robustness of ReVesicle, we applied the protocol to six biologically realistic vesicle systems: synaptic vesicles, plasma membranes, late endosomes, exosomes, mitochondria-derived vesicles, and the HIV-1 lipid envelope. These systems span diameters from 40 to 105 nm and reach total sizes of up to ∼150 million atoms with heterogeneous and asymmetric lipid compositions. Across all cases, ReVesicle consistently converges to continuous, tightly packed bilayers. Structural and biophysical analyses, including vesicle diameter, sphericity, area per lipid, and lipid acyl-chain order parameters, indicate preservation of quasi-spherical geometry and structural integrity. Overall, ReVesicle provides a reproducible framework for equilibrating large, heterogeneous lipid vesicles suitable for downstream all-atom simulations of complex biological environments.

Fields of Study & Subjects

Lipid Membrane Structure and Behavior Lipid metabolism and biosynthesis Caveolin-1 and cellular processes

Publication details

Journal / source
Journal of Chemical Theory and Computation
Publisher
American Chemical Society (ACS)
Volume
22
Issue
7
Pages
3732–3745
Publication date
19 March 2026
Language
EN