Literature DB >> 9190785

Network organization of cell metabolism: monosaccharide interconversion.

J C Nuño1, I Sánchez-Valdenebro, C Pérez-Iratxeta, E Meléndez-Hevia, F Montero.   

Abstract

The structural properties of carbohydrate metabolism are being studied. The present contribution focuses mainly on those processes involving the transfer of carbon fragments among sugars. It is shown how enzymatic activities fix the way the system self-organizes stoichiometrically at the steady state. It is proven that there exists a specific correspondence between the set of all possible enzymic activities, the activity set, and the set of stoichiometrically compatible flux distributions through the pathway. On the one hand, there are enzymic activities that do not allow a stoichiometrically feasible coupling at the steady state of the reactions involved in the conversion. On the other hand, there are enzymic activities that are related to one or more flux distributions at the steady state (i.e. with one or several rate vectors respectively). For this latter group, it can be demonstrated that the structure of the system depends on other non-structural factors, such as boundary constraints and the kinetic parameters. As a consequence, it is suggested that this kind of metabolic process must be viewed as a complex reaction network instead of a sequential number of steps. Some implications of these derivations are illustrated for the particular conversion of CO2 --> C3. General remarks are also discussed within the framework of network models of cell metabolism.

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Year:  1997        PMID: 9190785      PMCID: PMC1218437          DOI: 10.1042/bj3240103

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  6 in total

1.  The puzzle of the Krebs citric acid cycle: assembling the pieces of chemically feasible reactions, and opportunism in the design of metabolic pathways during evolution.

Authors:  E Meléndez-Hevia; T G Waddell; M Cascante
Journal:  J Mol Evol       Date:  1996-09       Impact factor: 2.395

2.  Metabolic control theory: a structural approach.

Authors:  C Reder
Journal:  J Theor Biol       Date:  1988-11-21       Impact factor: 2.691

3.  Fat synthesis in adipose tissue. An examination of stoichiometric constraints.

Authors:  D A Fell; J R Small
Journal:  Biochem J       Date:  1986-09-15       Impact factor: 3.857

Review 4.  The pentose pathway: a random harvest. Impediments which oppose acceptance of the classical (F-type) pentose cycle for liver, some neoplasms and photosynthetic tissue. The case for the L-type pentose pathway.

Authors:  J F Williams; K K Arora; J P Longenecker
Journal:  Int J Biochem       Date:  1987

5.  No soup for starters? Autotrophy and the origins of metabolism.

Authors:  B E Maden
Journal:  Trends Biochem Sci       Date:  1995-09       Impact factor: 13.807

6.  The game of the pentose phosphate cycle: a mathematical approach to study the optimization in design of metabolic pathways during evolution.

Authors:  E Meléndez-Hevia
Journal:  Biomed Biochim Acta       Date:  1990
  6 in total
  5 in total

Review 1.  Determination of the core of a minimal bacterial gene set.

Authors:  Rosario Gil; Francisco J Silva; Juli Peretó; Andrés Moya
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

2.  Analysis of metabolic subnetworks by flux cone projection.

Authors:  Sayed-Amir Marashi; Laszlo David; Alexander Bockmayr
Journal:  Algorithms Mol Biol       Date:  2012-05-29       Impact factor: 1.405

3.  Activity and metabolic roles of the pentose phosphate cycle in several rat tissues.

Authors:  H Cabezas; R R Raposo; E Meléndez-Hevia
Journal:  Mol Cell Biochem       Date:  1999-11       Impact factor: 3.396

4.  Branch-point stoichiometry can generate weak links in metabolism: the case of glycine biosynthesis.

Authors:  Enrique Melendez-Hevia; Patricia De Paz-Lugo
Journal:  J Biosci       Date:  2008-12       Impact factor: 1.826

5.  Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns.

Authors:  Christoph Kaleta; Luís Filipe de Figueiredo; Stefan Schuster
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

  5 in total

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