Protein interactions from complexes: a structural perspective.

by: L Hakes, DL Robertson, SG Oliver, SC Lovell

Comp Funct Genomics (2007)

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Abstract

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.

@article{citeulike:1512241, abstract = {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.}, address = {Centre for the Analysis of Biological Complexity, Faculty of Life Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK.}, author = {Hakes, L. and Robertson, D. L. and Oliver, S. G. and Lovell, S. C. }, citeulike-article-id = {1512241}, issn = {1531-6912}, journal = {Comp Funct Genomics}, keywords = {networks, ppi, protein\_structure}, posted-at = {2007-07-30 07:33:04}, priority = {5}, title = {Protein interactions from complexes: a structural perspective.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17538689}, year = {2007} }

RIS record

TY - JOUR ID - citeulike:1512241 L3 - citeulike-article-id:1512241 TI - Protein interactions from complexes: a structural perspective. JF - Comp Funct Genomics AD - Centre for the Analysis of Biological Complexity, Faculty of Life Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK. SN - 1531-6912 N2 - 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. KW - networks KW - ppi KW - protein_structure AU - Hakes, L AU - Robertson, DL AU - Oliver, SG AU - Lovell, SC PY - 2007/// UR - http://view.ncbi.nlm.nih.gov/pubmed/17538689 ER -

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