Mass-balanced randomization of metabolic networks.

ABSTRACT:

Motivation

Network-centered studies in systems biology attempt to integrate the topological properties of biological networks with experimental data in order to make predictions and posit hypotheses. For any topology-based prediction, it is necessary to first assess the significance of the analyzed property in a biologically meaningful context. Therefore, devising network null models, carefully tailored to the topological and biochemical constraints imposed on the network, remains an important computational problem.

Results

We first review the shortcomings of the existing generic sampling scheme-switch randomization-and explain its unsuitability for application to metabolic networks. We then devise a novel polynomial-time algorithm for randomizing metabolic networks under th

SUBMITTER: Basler G 

PROVIDER: S-EPMC3087954 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature