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PMID: 14693817 Published · ppublish English Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Essentiality and damage in metabolic networks.

Bioinformatics (Oxford, England) ·Vol. 20 ·No. 1 ·2004-01-01 ·Pages 115-9

Lemke N, Herédia F, Barcellos CK, Dos Reis AN, Mombach JC

Abstract

Understanding the architecture of physiological functions from annotated genome sequences is a major task for postgenomic biology. From the annotated genome sequence of the microbe Escherichia coli, we propose a general quantitative definition of enzyme importance in a metabolic network. Using a graph analysis of its metabolism, we relate the extent of the topological damage generated in the metabolic network by the deletion of an enzyme to the experimentally determined viability of the organism in the absence of that enzyme. We show that the network is robust and that the extent of the damage relates to enzyme importance. We predict that a large fraction (91%) of enzymes causes little damage when removed, while a small group (9%) can cause serious damage. Experimental results confirm that this group contains the majority of essential enzymes. The results may reveal a universal property of metabolic networks.

MeSH Terms
Computer Simulation Enzyme Activation Enzyme Stability Enzymes/chemistry,classification,deficiency,metabolism Escherichia coli/enzymology Metabolism/physiology Models, Biological Multienzyme Complexes/chemistry,classification,deficiency,metabolism Mutation Structure-Activity Relationship
Chemicals
Enzymes Multienzyme Complexes
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Lemke Ney
Laboratório de Bioinformática e Biologia Computacional, Centro de Ciências Exatas e Tecnológicas, Universidade do Vale do Rio dos Sinos, 93022-000 São Leopoldo, RS, Brazil.
Herédia Fabiana
Barcellos Cláudia K
Dos Reis Adriana N
Mombach José C M
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2004-01-01
Pages
115-9
Language
English
Region
England
NLM ID
9808944
Subset
IM
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