A new method for assembling metabolic networks, with application to the Krebs citric acid cycle.
To understand why a molecular network has a particular connectivity one can generate an ensemble of alternative networks, all of which meet the same performance criteria as the real network. We have generated alternatives to the Krebs cycle, allowing group transfers and B(12)-mediated shifts that were excluded in previous work. Our algorithm does not use a reaction list, but determines the reactants and products in generic reactions. It generates networks in order of increasing number of reaction steps. We find that alternatives to the Krebs cycle are very likely to be cycles. Many of the alternatives produce toxic or unstable compounds and use group transfer reactions, which have unfavorable consequences. Although alternatives are better than the Krebs cycle in some respects, the Krebs cycle has the most favorable combination of traits.
Mittenthal
J E
JE
Department of Cell and Structural Biology, University of Illinois, 601 S. Goodwin St., Urbana, IL 61801, U.S.A.
Clarke
B
B
Waddell
T G
TG
Fawcett
G
G
D000465:Algorithms; D000818:Animals; D002952:Citric Acid Cycle / Q000502:physiology*; D008954:Models, Biological; D016571:Neural Networks, Computer