Constraint-based functional similarity of metabolic genes: going beyond network topology
Author(s) -
Oleg Rokhlenko,
Tomer Shlomi,
Roded Sharan,
Eytan Ruppin,
Ron Y. Pinter
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm319
Subject(s) - in silico , metabolic network , constraint (computer aided design) , gene knockout , gene , computational biology , gene regulatory network , similarity (geometry) , computer science , gene ontology , biology , data mining , genetics , artificial intelligence , mathematics , gene expression , geometry , image (mathematics)
Several recent studies attempted to establish measures for the similarity between genes that are based on the topological properties of metabolic networks. However, these approaches offer only a static description of the properties of interest and offer moderate (albeit significant) correlations with pertinent experimental data.
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