Literature DB >> 6306351

A graph-theoretical analysis of metabolic regulation.

M C Kohn, W J Letzkus.   

Abstract

A graph theoretical method is proposed for modeling metabolic networks including enzymic cascades and synergistic binding of ligands to enzymes. Formal operations on the graph of a given network leads to the identification of feedback metabolites and the enzymes which regulate the feedback. These systemic properties are thus isolated from the purely local regulation of individual enzymes. The method was applied to a model of glycogen metabolism. At low cyclic AMP and insulin levels feedback control of the system is predicted to be largely with the glycogen branching and debranching enzymes, which set the amount of glycogen in the metabolically available outer branches.

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Year:  1983        PMID: 6306351     DOI: 10.1016/0022-5193(83)90353-3

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  Dynamic generation and qualitative analysis of metabolic pathways by a joint database/graph theoretical approach.

Authors:  F Ehrentreich; D Schomburg
Journal:  Funct Integr Genomics       Date:  2003-10-16       Impact factor: 3.410

2.  Strategies for computer modeling.

Authors:  M C Kohn
Journal:  Bull Math Biol       Date:  1986       Impact factor: 1.758

Review 3.  The best models of metabolism.

Authors:  Eberhard O Voit
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-05-19

4.  Is Graph Theoretical Analysis a Useful Tool for Quantification of Connectivity Obtained by Means of EEG/MEG Techniques?

Authors:  Maciej Kaminski; Katarzyna J Blinowska
Journal:  Front Neural Circuits       Date:  2018-09-26       Impact factor: 3.492

  4 in total

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