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iMembrane: homology-based membrane-insertion of proteins
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 cu...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666813/ https://www.ncbi.nlm.nih.gov/pubmed/19237449 http://dx.doi.org/10.1093/bioinformatics/btp102 |
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author | Kelm, Sebastian Shi, Jiye Deane, Charlotte M. |
author_facet | Kelm, Sebastian Shi, Jiye Deane, Charlotte M. |
author_sort | Kelm, Sebastian |
collection | PubMed |
description | 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 are 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@stats.ox.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online and at http://www.stats.ox.ac.uk/proteins/resources. |
format | Text |
id | pubmed-2666813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26668132009-04-29 iMembrane: homology-based membrane-insertion of proteins Kelm, Sebastian Shi, Jiye Deane, Charlotte M. Bioinformatics Applications Note 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 are 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@stats.ox.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online and at http://www.stats.ox.ac.uk/proteins/resources. Oxford University Press 2009-04-15 2009-02-23 /pmc/articles/PMC2666813/ /pubmed/19237449 http://dx.doi.org/10.1093/bioinformatics/btp102 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ 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. |
spellingShingle | Applications Note Kelm, Sebastian Shi, Jiye Deane, Charlotte M. iMembrane: homology-based membrane-insertion of proteins |
title | iMembrane: homology-based membrane-insertion of proteins |
title_full | iMembrane: homology-based membrane-insertion of proteins |
title_fullStr | iMembrane: homology-based membrane-insertion of proteins |
title_full_unstemmed | iMembrane: homology-based membrane-insertion of proteins |
title_short | iMembrane: homology-based membrane-insertion of proteins |
title_sort | imembrane: homology-based membrane-insertion of proteins |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2666813/ https://www.ncbi.nlm.nih.gov/pubmed/19237449 http://dx.doi.org/10.1093/bioinformatics/btp102 |
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