Systems Analyses Characterize Integrated Functions of Biochemical Networks
Overview
Affiliations
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.
Modeling integrated cellular machinery using hybrid Petri-Boolean networks.
Berestovsky N, Zhou W, Nagrath D, Nakhleh L PLoS Comput Biol. 2013; 9(11):e1003306.
PMID: 24244124 PMC: 3820535. DOI: 10.1371/journal.pcbi.1003306.
Systems biology: the next frontier for bioinformatics.
Likic V, McConville M, Lithgow T, Bacic A Adv Bioinformatics. 2011; :268925.
PMID: 21331364 PMC: 3038413. DOI: 10.1155/2010/268925.
Quantitative analysis of cellular metabolic dissipative, self-organized structures.
Martinez de la Fuente I Int J Mol Sci. 2010; 11(9):3540-99.
PMID: 20957111 PMC: 2956111. DOI: 10.3390/ijms11093540.
Takeda K, Komuro Y, Hayakawa T, Oguchi H, Ishida Y, Murakami S Proc Natl Acad Sci U S A. 2009; 106(30):12301-5.
PMID: 19590015 PMC: 2718331. DOI: 10.1073/pnas.0901823106.
Apprehending multicellularity: regulatory networks, genomics, and evolution.
Aravind L, Anantharaman V, Venancio T Birth Defects Res C Embryo Today. 2009; 87(2):143-64.
PMID: 19530132 PMC: 2754411. DOI: 10.1002/bdrc.20153.