Metabolic pathways in the post-genome era.

By Jason A. Papin, Nathan D. Price, Sharon J. Wiback, David A. Fell, Bernhard O. Palsson. TIBS -Trends in Biochemical Sciences. Regular ed, 2003

353 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d9e50d432c550c55dd411c0b390335224b4b4994

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Citations in the corpus

Reconstruction of cellular signalling networks and analysis of their properties (2005, background): “For example, in metabolic networks, the addition of a single reaction to a network could increase the number of functional pathways by several-fol”
Genome-scale models of bacterial metabolism: reconstruction and applications (2008, background): “…of that network, together with a set of rules and possibly quantitative parameters enabling simulations or predictions on the joint operation of all network reactions in a given environment, and in particular predictions on the values of metabolite ﬂuxes and/or concentrations (Papin et al ., 2003).”
Physicochemical modelling of cell signalling pathways (2006, background): “Pathway modelling has existed for some time, particularly in the field of prokaryotic metabolis”
Evidence for dynamically organized modularity in the yeast protein–protein interaction network (2004, background): “The biological role of topological hubs, so far considered in static representations of interactome networks without information on the functional states of these networks—that is, dynamic or steady stat”
The evolution of molecular biology into systems biology (2004, background): “have revealed the existence of network-based definitions of pathways that can be used mathematically to represent all possible functional states of reconstructed network”
Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization (2003, methodology): “This information, used in the context of the flux balance analysis (FBA) modeling framework (Varma and Palsson, 1993), has been employed extensively to explore the integrated functions of metabolic networks (Burgard and Maranas, 2001; Burgard et al., 2001; Papin et al., 2003; Price et al., 2003).”