An enzyme-centric approach for modelling non-linear biological complexity.

ABSTRACT:

Background

The current challenge of Systems Biology is to integrate high throughput data sets for simulating the complexity of biological networks, exploit the evolution of nature-designed networks that maintain the robustness of a biological system, and thereby generate novel, experimentally testable hypotheses. In order to simulate non-linear biological complexities, we have previously developed an Enzyme-Centric mechanistic modeling approach and validated it using metabolic network in E. coli. The idea is to use prior knowledge of catalytic and regulatory mechanisms of each enzyme within the metabolic network to build a dynamic model for investigating the network level regulation and thus understand the nature design principle behind the network.

Results

In this paper, we

SUBMITTER: Yang CR 

PROVIDER: S-EPMC3146071 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature