Systems analyses characterize integrated functions of biochemical networks.
Metabolic, regulatory and signaling pathways have been characterized in detail over the past century. As the amount of genomic, proteomic and metabolic data has increased, and the mathematical and analytical capabilities of interrogating these data have advanced, the overlapping roles of pathway constituents have been described. These developments reflect the truly integrated nature of subcellular biochemical networks. Systems analyses, including the reconstruction of stoichiometric networks, provide a key set of tools for quantifying overlap among the metabolic, regulatory and signaling functions of network components. Accounting for this integration is crucial for accurately describing the function of biochemical networks.
Gianchandani
Erwin P
EP
Department of Biomedical Engineering, University of Virginia, Box 800759, Health System, Charlottesville, VA 22908, USA.
Brautigan
David L
DL
Papin
Jason A
JA
D001671:Biochemistry / Q000379:methods*; D019295:Computational Biology; D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D016571:Neural Networks, Computer; D025941:Protein Interaction Mapping; D015398:Signal Transduction; D013597:Systems Analysis