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Algorithm to catalogue topologies of dynamic lipid hydrogen-bond networks.

Authors :
Karathanou K
Bondar AN
Source :
Biochimica et biophysica acta. Biomembranes [Biochim Biophys Acta Biomembr] 2022 Apr 01; Vol. 1864 (4), pp. 183859. Date of Electronic Publication: 2022 Jan 07.
Publication Year :
2022

Abstract

Lipid membrane interfaces host reactions essential for the functioning of cells. The hydrogen-bonding environment at the membrane interface is particularly important for binding of proteins, drug molecules, and ions. We present here the implementation and applications of a depth-first search algorithm that analyzes dynamic lipid interaction networks. Lipid hydrogen-bond networks sampled transiently during simulations of lipid bilayers are clustered according to main types of topologies that characterize three-dimensional arrangements of lipids connected to each other via short water bridges. We characterize the dynamics of hydrogen-bonded lipid clusters in simulations of model POPE and POPE:POPG membranes that are often used for bacterial membrane proteins, in a model of the Escherichia coli membrane with six different lipid types, and in POPS membranes. We find that all lipids sample dynamic hydrogen-bonded networks with linear, star, or circular arrangements of the lipid headgroups, and larger networks with combinations of these three types of topologies. Overall, linear lipid-water bridges tend to be short. Water-mediated lipid clusters in all membranes with PE lipids tend to be somewhat small, with about four lipids in all membranes studied here. POPS membranes allow circular arrangements of three POPS lipids to be sampled frequently, and complex arrangements of linear, star, and circular paths may also be sampled. These findings suggest a molecular picture of the membrane interface whereby lipid molecules transiently connect in clusters with somewhat small spatial extension.<br /> (Copyright © 2022 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-2642
Volume :
1864
Issue :
4
Database :
MEDLINE
Journal :
Biochimica et biophysica acta. Biomembranes
Publication Type :
Academic Journal
Accession number :
34999081
Full Text :
https://doi.org/10.1016/j.bbamem.2022.183859