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PMID: 17367719 Published · ppublish English Journal Article Review

Setting up and running molecular dynamics simulations of membrane proteins.

Methods (San Diego, Calif.) ·Vol. 41 ·No. 4 ·2007-04-00 ·Pages 475-88

Kandt C, Ash WL, Tieleman DP

Abstract

Molecular dynamics simulations have become a popular and powerful technique to study lipids and membrane proteins. We present some general questions and issues that should be considered prior to embarking on molecular dynamics simulation studies of membrane proteins and review common simulation methods. We suggest a practical approach to setting up and running simulations of membrane proteins, and introduce two new (related) methods to embed a protein in a lipid bilayer. Both methods rely on placing lipids and the protein(s) on a widely spaced grid and then 'shrinking' the grid until the bilayer with the protein has the desired density, with lipids neatly packed around the protein. When starting from a grid based on a single lipid structure, or several potentially different lipid structures (method 1), the bilayer will start well-packed but requires more equilibration. When starting from a pre-equilibrated bilayer, either pure or mixed, most of the structure of the bilayer stays intact, reducing equilibration time (method 2). The main advantages of these methods are that they minimize equilibration time and can be almost completely automated, nearly eliminating one time consuming step in MD simulations of membrane proteins.

MeSH Terms
Algorithms Biochemistry/methods Computer Simulation Electrochemistry/methods Lipid Bilayers/chemistry Membrane Proteins/chemistry Models, Chemical Solvents Water/chemistry
Chemicals
Lipid Bilayers Membrane Proteins Solvents Water
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Kandt Christian
Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary AB, Canada T2N 1N4.
Ash Walter L
Tieleman D Peter
Article Info
Journal
Methods (San Diego, Calif.)
Abbr.
Methods
ISSN
1046-2023
Published
2007-04-00
Pages
475-88
Language
English
Region
United States
NLM ID
9426302
Subset
IM
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