Modular decomposition of metabolic reaction networks based on flux analysis and pathway projection
Author(s) -
Jeongah Yoon,
Yaguang Si,
Ryan P. Nolan,
Kyongbum Lee
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/btm374
Subject(s) - metabolic network , metabolic flux analysis , modularity (biology) , transamination , modular design , flux (metallurgy) , adipocyte , computer science , computational biology , flexibility (engineering) , biology , functional decomposition , metabolic pathway , decomposition , biological system , bioinformatics , metabolism , mathematics , chemistry , adipose tissue , biochemistry , genetics , ecology , statistics , organic chemistry , machine learning , enzyme , operating system
The rational decomposition of biochemical networks into sub-structures has emerged as a useful approach to study the design of these complex systems. A biochemical network is characterized by an inhomogeneous connectivity distribution, which gives rise to several organizational features, including modularity. To what extent the connectivity-based modules reflect the functional organization of the network remains to be further explored. In this work, we examine the influence of physiological perturbations on the modular organization of cellular metabolism.
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