Essentiality and damage in metabolic networks

Authors:
Ney Lemke;Fabiana Herédia;Cláudia K. Barcellos;Adriana N. Dos Reis;José C. M. Mombach
Affiliations:
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;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;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;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;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
Venue:
Bioinformatics
Year:
2004

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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.