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Environment specific substitution tables improve membrane protein alignment
Motivation: Membrane proteins are both abundant and important in cells, but the small number of solved structures restricts our understanding of them. Here we consider whether membrane proteins undergo different substitutions from their soluble counterparts and whether these can be used to improve m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117371/ https://www.ncbi.nlm.nih.gov/pubmed/21685065 http://dx.doi.org/10.1093/bioinformatics/btr230 |
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author | Hill, Jamie R. Kelm, Sebastian Shi, Jiye Deane, Charlotte M. |
author_facet | Hill, Jamie R. Kelm, Sebastian Shi, Jiye Deane, Charlotte M. |
author_sort | Hill, Jamie R. |
collection | PubMed |
description | Motivation: Membrane proteins are both abundant and important in cells, but the small number of solved structures restricts our understanding of them. Here we consider whether membrane proteins undergo different substitutions from their soluble counterparts and whether these can be used to improve membrane protein alignments, and therefore improve prediction of their structure. Results: We construct substitution tables for different environments within membrane proteins. As data is scarce, we develop a general metric to assess the quality of these asymmetric tables. Membrane proteins show markedly different substitution preferences from soluble proteins. For example, substitution preferences in lipid tail-contacting parts of membrane proteins are found to be distinct from all environments in soluble proteins, including buried residues. A principal component analysis of the tables identifies the greatest variation in substitution preferences to be due to changes in hydrophobicity; the second largest variation relates to secondary structure. We demonstrate the use of our tables in pairwise sequence-to-structure alignments (also known as ‘threading’) of membrane proteins using the FUGUE alignment program. On average, in the 10–25% sequence identity range, alignments are improved by 28 correctly aligned residues compared with alignments made using FUGUE's default substitution tables. Our alignments also lead to improved structural models. Availability: Substitution tables are available at: http://www.stats.ox.ac.uk/proteins/resources. Contact: deane@stats.ox.ac.uk |
format | Online Article Text |
id | pubmed-3117371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31173712011-06-17 Environment specific substitution tables improve membrane protein alignment Hill, Jamie R. Kelm, Sebastian Shi, Jiye Deane, Charlotte M. Bioinformatics Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria Motivation: Membrane proteins are both abundant and important in cells, but the small number of solved structures restricts our understanding of them. Here we consider whether membrane proteins undergo different substitutions from their soluble counterparts and whether these can be used to improve membrane protein alignments, and therefore improve prediction of their structure. Results: We construct substitution tables for different environments within membrane proteins. As data is scarce, we develop a general metric to assess the quality of these asymmetric tables. Membrane proteins show markedly different substitution preferences from soluble proteins. For example, substitution preferences in lipid tail-contacting parts of membrane proteins are found to be distinct from all environments in soluble proteins, including buried residues. A principal component analysis of the tables identifies the greatest variation in substitution preferences to be due to changes in hydrophobicity; the second largest variation relates to secondary structure. We demonstrate the use of our tables in pairwise sequence-to-structure alignments (also known as ‘threading’) of membrane proteins using the FUGUE alignment program. On average, in the 10–25% sequence identity range, alignments are improved by 28 correctly aligned residues compared with alignments made using FUGUE's default substitution tables. Our alignments also lead to improved structural models. Availability: Substitution tables are available at: http://www.stats.ox.ac.uk/proteins/resources. Contact: deane@stats.ox.ac.uk Oxford University Press 2011-07-01 2011-06-14 /pmc/articles/PMC3117371/ /pubmed/21685065 http://dx.doi.org/10.1093/bioinformatics/btr230 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria Hill, Jamie R. Kelm, Sebastian Shi, Jiye Deane, Charlotte M. Environment specific substitution tables improve membrane protein alignment |
title | Environment specific substitution tables improve membrane protein alignment |
title_full | Environment specific substitution tables improve membrane protein alignment |
title_fullStr | Environment specific substitution tables improve membrane protein alignment |
title_full_unstemmed | Environment specific substitution tables improve membrane protein alignment |
title_short | Environment specific substitution tables improve membrane protein alignment |
title_sort | environment specific substitution tables improve membrane protein alignment |
topic | Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117371/ https://www.ncbi.nlm.nih.gov/pubmed/21685065 http://dx.doi.org/10.1093/bioinformatics/btr230 |
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