Treffer: METATOOL : for studying metabolic networks

Title:
METATOOL : for studying metabolic networks
Authors:
PFEIFFER, T, SANCHEZ-VALDENEBRO, I, NUNO, J. C, MONTERO, F, SCHUSTER, S
Source:
Selection of papers presented at the German Conference on Bioinformatics (GCB'98, Cologne, Germany, October 1998Bioinformatics (Oxford. Print). 15(3):251-257
Publisher Information:
Oxford: Oxford University Press, 1999.
Publication Year:
1999
Physical Description:
print, 28 ref
Original Material:
INIST-CNRS
Subject Terms:
Bioinformatics, Bioinformatique, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Generalites, General aspects, Mathématiques biologiques. Statistiques. Modèles. Métrologie. Informatique en biologie (généralités), Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects), Algorithme, Algorithm, Algoritmo, Métabolisme, Metabolism, Metabolismo, Méthode étude, Investigation method, Método estudio, Prédiction, Prediction, Predicción, Réaction enzymatique, Enzymatic reaction, Reacción enzimática, Traitement informatique, Computerized processing, Tratamiento informático, Voie métabolique, Metabolic pathway, Vía métabolica
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Humboldt University Berlin, Institute of Biology Invalidenstrasse 42, 10115 Berlin, Germany
Universidad Complutense de Madrid, Departamento de Bioquímica y Biología Molecular I, Grupo de Biofísica, Ciudad Universitaria, 28040 Madrid, Spain
Universidad Politecnica de Madrid, Departamento de Matemática Aplicada a los Recursos Naturales, ETSI de Montes, 28040 Madrid, Spain
Max Delbrück Center for Molecular Medicine, Department of Bioinformatics, 13092 Berlin-Buch, Germany
ISSN:
1367-4803
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=1832864
Rights:
Copyright 1999 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Biological sciences. Generalities. Modelling. Methods

Generalities in biological sciences
Accession Number:
edscal.1832864
Database:
PASCAL Archive

Weitere Informationen

Motivation: To reconstruct metabolic pathways from biochemical and/or genome sequence data, the stoichiometric and thermodynamic feasibility of the pathways has to be tested. This is achieved by characterizing the admissible region of flux distributions in steady state. This region is spanned by what can be called a convex basis. The concept of elementary flux modes' provides a mathematical tool to define all metabolic routes that are feasible in a given metabolic network. In addition, we define 'enzyme subsets' to be groups of enzymes that operate together in fixed flux proportions in all steady states of the system. Results: Algorithms for computing the convex basis and elementary modes developed earlier are briefly reviewed. A newly developed algorithm for detecting all enzyme subsets in a given network is presented. All of these algorithms have been implemented in a novel computer program named METATOOL, whose features are outlined here. The algorithms are illustrated by an example taken from sugar metabolism.