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Bioinformatics Advance Access published online on February 23, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp102
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©2009 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

iMembrane: Homology-Based Membrane-Insertion of Proteins

Sebastian Kelm 1,*, Jiye Shi 2 and Charlotte M. Deane 1

1Department of Statistics, University of Oxford, 1 South Parks Road, Oxford, OX1 3TG, UK
2UCB Celltech, branch of UCB Pharma S.A., 208 Bath Road, Slough, SL1 3WE, UK

*To whom correspondence should be addressed. Mr. Sebastian Kelm, E-mail: kelm{at}stats.ox.ac.uk


  Abstract

Summary: iMembrane is a homology-based method, which predicts a membrane protein's position within a lipid bilayer. It projects the results of coarse-grained molecular dynamics simulations onto any membrane protein structure or sequence provided by the user. iMembrane is simple to use and is currently the only computational method allowing the rapid prediction of a membrane protein's lipid bilayer insertion. Bilayer insertion data is essential in the accurate structural modelling of membrane proteins or the design of drugs that target them.

Availability: http://imembrane.info. iMembrane is available under a non-commercial open-source licence, upon request.

Contact: kelm{at}stats.ox.ac.uk

Supplementary informaton: Supplementary information is avail-able at Bioinformatics online and at http://www.stats.ox.ac.uk/proteins/resources.

Associate Editor: Prof. Thomas Lengauer

Received on August 29, 2008; revised on January 7, 2009; accepted on February 17, 2009

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