Protein Interactions from Complexes: A Structural Perspective
Author(s) -
Luke Hakes,
David L. Robertson,
Stephen G. Oliver,
Simon C. Lovell
Publication year - 2006
Publication title -
comparative and functional genomics
Language(s) - English
Resource type - Journals
eISSN - 1532-6268
pISSN - 1531-6912
DOI - 10.1155/2007/49356
Subject(s) - pairwise comparison , computer science , relevance (law) , protein–protein interaction , distance matrix , data mining , perspective (graphical) , topology (electrical circuits) , matrix (chemical analysis) , theoretical computer science , computational biology , chemistry , algorithm , artificial intelligence , mathematics , biology , combinatorics , biochemistry , chromatography , political science , law
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.
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