Decomposing complex reaction networks using random sampling, principal component analysis and basis rotation.

ABSTRACT:

Background

Metabolism and its regulation constitute a large fraction of the molecular activity within cells. The control of cellular metabolic state is mediated by numerous molecular mechanisms, which in effect position the metabolic network flux state at specific locations within a mathematically-definable steady-state flux space. Post-translational regulation constitutes a large class of these mechanisms, and decades of research indicate that achieving a network flux state through post-translational metabolic regulation is both a complex and complicated regulatory problem. No analysis method for the objective, top-down assessment of such regulation problems in large biochemical networks has been presented and demonstrated.

Results

We show that the use of Monte Carlo sampli

SUBMITTER: Barrett CL 

PROVIDER: S-EPMC2667477 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature