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Protein Interactions from Complexes: A Structural Perspective
By combining crystallographic information with protein-interaction data obtained through traditional experimental means, this paper determines the most appropriate method for generating protein-interaction networks that incorporate data derived from protein complexes. We propose that a combined meth...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1838958/ https://www.ncbi.nlm.nih.gov/pubmed/17538689 http://dx.doi.org/10.1155/2007/49356 |
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author | Hakes, Luke Robertson, David L. Oliver, Stephen G. Lovell, Simon C. |
author_facet | Hakes, Luke Robertson, David L. Oliver, Stephen G. Lovell, Simon C. |
author_sort | Hakes, Luke |
collection | PubMed |
description | By combining crystallographic information with protein-interaction data obtained through traditional experimental means, this paper determines the most appropriate method for generating protein-interaction networks that incorporate data derived from protein complexes. We propose that a combined method should be considered; in which complexes composed of five chains or less are decomposed using the matrix model, whereas the spoke model is used to derive pairwise interactions for those with six chains or more. The results presented here should improve the accuracy and relevance of studies investigating the topology of protein-interaction networks. |
format | Text |
id | pubmed-1838958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-18389582007-05-30 Protein Interactions from Complexes: A Structural Perspective Hakes, Luke Robertson, David L. Oliver, Stephen G. Lovell, Simon C. Comp Funct Genomics Research Article By combining crystallographic information with protein-interaction data obtained through traditional experimental means, this paper determines the most appropriate method for generating protein-interaction networks that incorporate data derived from protein complexes. We propose that a combined method should be considered; in which complexes composed of five chains or less are decomposed using the matrix model, whereas the spoke model is used to derive pairwise interactions for those with six chains or more. The results presented here should improve the accuracy and relevance of studies investigating the topology of protein-interaction networks. Hindawi Publishing Corporation 2007 2006-12-20 /pmc/articles/PMC1838958/ /pubmed/17538689 http://dx.doi.org/10.1155/2007/49356 Text en Copyright © 2007 Luke Hakes et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hakes, Luke Robertson, David L. Oliver, Stephen G. Lovell, Simon C. Protein Interactions from Complexes: A Structural Perspective |
title | Protein Interactions from Complexes: A Structural Perspective |
title_full | Protein Interactions from Complexes: A Structural Perspective |
title_fullStr | Protein Interactions from Complexes: A Structural Perspective |
title_full_unstemmed | Protein Interactions from Complexes: A Structural Perspective |
title_short | Protein Interactions from Complexes: A Structural Perspective |
title_sort | protein interactions from complexes: a structural perspective |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1838958/ https://www.ncbi.nlm.nih.gov/pubmed/17538689 http://dx.doi.org/10.1155/2007/49356 |
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