Literature DB >> 10356246

Metabolic pathway analysis: basic concepts and scientific applications in the post-genomic era.

C H Schilling1, S Schuster, B O Palsson, R Heinrich.   

Abstract

This article reviews the relatively short history of metabolic pathway analysis. Computer-aided algorithms for the synthesis of metabolic pathways are discussed. Important algebraic concepts used in pathway analysis, such as null space and convex cone, are explained. It is demonstrated how these concepts can be translated into meaningful metabolic concepts. For example, it is shown that the simplest vectors spanning the region of all admissible fluxes in stationary states, for which the term elementary flux modes was coined, correspond to fundamental pathways in the system. The concepts are illustrated with the help of a reaction scheme representing the glyoxylate cycle and adjacent reactions of aspartate and glutamate synthesis. The interrelations between pathway analysis and metabolic control theory are outlined. Promising applications for genome annotation and for biotechnological purposes are discussed. Armed with a better understanding of the architecture of cellular metabolism and the enormous amount of genomic data available today, biochemists and biotechnologists will be able to draw the entire metabolic map of a cell and redesign it by rational and directed metabolic engineering.

Entities:  

Mesh:

Year:  1999        PMID: 10356246     DOI: 10.1021/bp990048k

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  64 in total

1.  The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities.

Authors:  J S Edwards; B O Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

2.  GeneCensus: genome comparisons in terms of metabolic pathway activity and protein family sharing.

Authors:  J Lin; J Qian; D Greenbaum; P Bertone; R Das; N Echols; A Senes; B Stenger; M Gerstein
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

3.  Extreme pathway lengths and reaction participation in genome-scale metabolic networks.

Authors:  Jason A Papin; Nathan D Price; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

4.  Energy balance for analysis of complex metabolic networks.

Authors:  Daniel A Beard; Shou-dan Liang; Hong Qian
Journal:  Biophys J       Date:  2002-07       Impact factor: 4.033

5.  The convex basis of the left null space of the stoichiometric matrix leads to the definition of metabolically meaningful pools.

Authors:  Iman Famili; Bernhard O Palsson
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

6.  Extreme pathway analysis of human red blood cell metabolism.

Authors:  Sharon J Wiback; Bernhard O Palsson
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

7.  Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis.

Authors:  M Bentele; I Lavrik; M Ulrich; S Stösser; D W Heermann; H Kalthoff; P H Krammer; R Eils
Journal:  J Cell Biol       Date:  2004-09-13       Impact factor: 10.539

8.  The modelling of a primitive 'sustainable' conservative cell.

Authors:  James B Bassingthwaighte
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2001-06       Impact factor: 4.226

9.  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

10.  Combinatorial complexity of pathway analysis in metabolic networks.

Authors:  Steffen Klamt; Jörg Stelling
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.