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Journal article

Multiscale molecular dynamics simulations of lipid interactions with P-glycoprotein in a complex membrane

Abstract:
P-glycoprotein (P-gp) can transport a wide range of very different hydrophobic organic molecules across the membrane. Its ability to extrude molecules from the cell creates delivery problems for drugs that target proteins in the central nervous system (CNS) and also causes drug-resistance in many forms of cancer. Whether a drug will be susceptible to export by P-gp is difficult to predict and currently this is usually assessed with empirical and/or animal models. Thus, there is a need to better understand how P-gp works at the molecular level in order to fulfil the 3Rs: Refinement, reduction and replacement of animals in research. As structural information increasingly becomes available, our understanding at the molecular level improves. Proteins like P-gp are however very dynamic entities and thus one of the most appropriate ways to study them is with molecular dynamics simulations, especially as this can capture the influence of the surrounding environment. Recent parameterization developments have meant that it is now possible to simulate lipid bilayers that more closely resemble in vivo membranes in terms of their composition. In this report we construct a complex lipid bilayer that mimics the composition of brain epithelial cells and examine the interactions of it with P-gp. We find that the negatively charged phosphatidylserine lipids in the inner leaflet of the membrane tend to form an annulus around P-gp. We also observed the interaction of cholesterol with three distinct areas of the P-gp. Potential of mean force (PMF) calculations suggest that a crevice between transmembrane helices 10 and 12 has particularly favourable interaction energy for cholesterol.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jmgm.2017.12.022

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Oxford college:
Lady Margaret Hall
Role:
Author
ORCID:
0000-0001-5100-8836


Publisher:
Elsevier
Journal:
Journal of Molecular Graphics and Modelling More from this journal
Volume:
80
Pages:
147-156
Publication date:
2017-12-30
Acceptance date:
2017-09-12
DOI:
EISSN:
1873-4243
ISSN:
1093-3263
Pmid:
29353693


Language:
English
Keywords:
Pubs id:
pubs:821312
UUID:
uuid:1029aa93-d98e-4a42-b70f-7b8cef9af29f
Local pid:
pubs:821312
Source identifiers:
821312
Deposit date:
2019-03-01

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