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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2002-10-26
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Oltvai, Zoltan N -- Barabasi, Albert-Laszlo -- New York, N.Y. -- Science. 2002 Oct 25;298(5594):763-4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Northwestern University, Chicago, IL 60611, USA. zno008@nwu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12399572" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; *Cell Physiological Phenomena ; Escherichia coli/genetics/metabolism/physiology ; Genes, Fungal ; *Genome ; *Metabolism ; Promoter Regions, Genetic ; Proteins/metabolism ; *Proteome ; Saccharomyces cerevisiae/genetics/metabolism/*physiology ; Saccharomyces cerevisiae Proteins/metabolism ; Transcription Factors/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2002-08-31
    Description: Spatially or chemically isolated functional modules composed of several cellular components and carrying discrete functions are considered fundamental building blocks of cellular organization, but their presence in highly integrated biochemical networks lacks quantitative support. Here, we show that the metabolic networks of 43 distinct organisms are organized into many small, highly connected topologic modules that combine in a hierarchical manner into larger, less cohesive units, with their number and degree of clustering following a power law. Within Escherichia coli, the uncovered hierarchical modularity closely overlaps with known metabolic functions. The identified network architecture may be generic to system-level cellular organization.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ravasz, E -- Somera, A L -- Mongru, D A -- Oltvai, Z N -- Barabasi, A L -- New York, N.Y. -- Science. 2002 Aug 30;297(5586):1551-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of Notre Dame, Notre Dame, IN 46556, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12202830" target="_blank"〉PubMed〈/a〉
    Keywords: Escherichia coli/metabolism ; *Metabolism ; *Models, Biological ; Systems Theory
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
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