Estimation of the number of extreme pathways for metabolic networks |
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Authors: | Matthew Yeung Ines Thiele Bernard Ø Palsson |
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Institution: | (1) Dept. of Bioengineering, University of California,San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA;(2) Program in Bioinformatics, University of California,San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA |
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Abstract: | Background The set of extreme pathways (ExPa), {p
i
}, defines the convex basis vectors used for the mathematical characterization of the null space of the stoichiometric matrix
for biochemical reaction networks. ExPa analysis has been used for a number of studies to determine properties of metabolic
networks as well as to obtain insight into their physiological and functional states in silico. However, the number of ExPas, p = |{p
i
}|, grows with the size and complexity of the network being studied, and this poses a computational challenge. For this study,
we investigated the relationship between the number of extreme pathways and simple network properties. |
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Keywords: | |
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