The Connectivity Structure, Giant Strong Component and Centrality of Metabolic Networks

By Hongwu Ma, An-Ping Zeng. Bioinform., 2003

413 citations recorded by the source corpus.

Subfields: Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/1d3980ceea493a2aac27a673e2becebc7a4d226a

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Citations in the corpus

Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks (2008, background): “According to a slight modi ﬁ cation of the closeness centrality 8 of the top 10 metabolites of the metabolic network of E. coli are part of the glycolysis and citrate acid cycle pathways (Ma and Zeng (2003)).”
Using graph theory to analyze biological networks (2011, methodology): “Closeness centrality has been used to identify the top central metabolites in genome-based largescale metabolic networks [79], to compare unicellular and multicellular eukarya, to rank pathways and obtain a perspective on the evolution of metabolic organization [80].”
Scale-free networks in cell biology (2005, background): “Although this average path length is still small in all the organisms studied, the strongly connected component itself contains fewer than 50% of the nodes (Ma and Zeng, 2003).”
Analysis of global control of Escherichia coli carbohydrate uptake (2007, positive): “The centralization index has been used to describe structural differences of metabolic networks [15].”
EGF–ERBB signalling: towards the systems level (2006, background): “The input of multiple growth factors that function through eight potential receptor hetero- or homodimers activates common signalling cascades collectively defined as a giant strong component network , or core proces”
Structure and dynamics of core/periphery networks (2013, background): “Bow-tie network structures were first detected in metabolic networks [7].”
Minimal cut sets in biochemical reaction networks (2004, background): “Studies on the large-scale topology have yielded deeper insights into the global organization of metabolic networks (e.g. Fell and Wagner, 2000; Ma and Zeng, 2003a,b).”
Global organization of metabolic fluxes in the bacterium Escherichia coli (2004, background): “The algorithm uncovers the ‘high-flux backbone’ (HFB) of the metabolism, a distinct structure of linked reactions that forms a giant componen”
The Edinburgh human metabolic network reconstruction and its functional analysis (2007, methodology): “This metabolite classification is quite similar with the bow-tie structure of metabolic networks discovered previously based on graph analysis”