J 2025

Split Membrane: A New Model to Accelerate All-Atom MD Simulation of Phospholipid Bilayers

KHODAM HAZRATI, Mehrnoosh, Lukáš SUKENÍK and Robert VÁCHA

Basic information

Original name

Split Membrane: A New Model to Accelerate All-Atom MD Simulation of Phospholipid Bilayers

Authors

KHODAM HAZRATI, Mehrnoosh, Lukáš SUKENÍK and Robert VÁCHA

Edition

Journal of Chemical Information and Modeling, 1549-960X, American Chemical Society, 2025, 1549-9596

Other information

Language

English

Type of outcome

Article in a journal

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

Organization

Středoevropský technologický institut – Repository – Repository

UT WoS

001393323200001

Keywords in English

FORCE-FIELD; CRYSTAL-STRUCTURE; CHARMM; GUI; VALIDATION; AMBER; POTENTIALS; DIFFUSION; EXTENSION; INSERTION

Links

GA20-20152S, research and development project. LM2015085, research and development project. LX22NPO5103, research and development project. 101001470, interní kód Repo.
Changed: 29/1/2025 00:51, RNDr. Daniel Jakubík

Abstract

V originále

All-atom molecular dynamics simulations are powerful tools for studying cell membranes and their interactions with proteins and other molecules. However, these processes occur on time scales determined by the diffusion rate of phospholipids, which are challenging to achieve in all-atom models. Here, we present a new all-atom model that accelerates lipid diffusion by splitting phospholipid molecules into head and tail groups. The bilayer structure is maintained by using external lateral potentials, which compensate for the lipid split. This split model enhances lateral lipid diffusion more than ten times, allowing faster and cheaper equilibration of large systems with different phospholipid types. The current model has been tested on membranes containing PSM, POPC, POPS, POPE, POPA, and cholesterol. We have also evaluated the interaction of the split model membranes with the Disheveled DEP domain and amphiphilic helix motif of the transcriptional repressor Opi1 as representative of peripheral proteins as well as the dimeric fragment of the epidermal growth factor receptor transmembrane domain and the Human A2A Adenosine of G protein-coupled receptors as representative of transmembrane proteins. The split model can predict the interaction sites of proteins and their preferred phospholipid type. Thus, the model could be used to identify lipid binding sites and equilibrate large membranes at an affordable computational cost.

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