Probabilistic Integrative Modeling of Genome-Scale Metabolic and Regulatory Networks in Escherichia Coli and Mycobacterium Tuberculosis

Systems Biology
2010 AIChE Annual Meeting
AIChE Annual Meeting
November 9, 2010 - 7:00pm
Systems biology seeks to understand the cell by studying interactions between its various components and the properties that emerge from these interaction networks. The integration of diverse network types has several important applications including diagnosing metabolic disorders and discovering novel drug targets. A cardinal challenge in this process is the integration of transcriptional regulatory networks with the corresponding metabolic network. We propose a new method called Probabilistic Regulation of Metabolism (PROM) which achieves this by performing automated integrated modeling of regulatory and metabolic networks using high throughput data. Using PROM, we construct an integrated regulatory-metabolic network for the model organism, Escherichia coli, and demonstrate PROM's ability to model the effect of perturbations to transcriptional regulators and predict microbial growth. After validating the approach, we then applied the method to build the first genome-scale integrated metabolic–regulatory model for Mycobacterium tuberculosis, a critically important human pathogen. This study incorporates data from over 1300 microarrays, 2000 transcription factor–target interactions regulating 3300 metabolic reactions, and 1905 knockout phenotypes for E. coli and M. tuberculosis. PROM has the ability to identify drug targets and was able to predict the growth phenotypes with accuracies as high as 90%. Importantly, this method represents the successful integration of two important classes of systems biology models that are rarely combined quantitatively.
Professional Development Hours
0.5 PDHs
You will be able to download and print a certificate for these PDH credits once the content has been viewed. If you have already viewed this content, please click here to login.
Presenter(s): 

Would you like to access this content?

No problem. You just have to complete the following steps.

You have completed 0 of 2 steps.

  1. Log in

    You must be logged in to view this content. Log in now.

  2. Purchase Technical Presentation

    You must purchase this technical presentation using one of the options below.
    If you already purchased this content recently, please click here to refresh the system's record of ownerships.

Pricing

Credits 0.5 Use credits
List Price $25.00 Buy now
AIChE Members $15.00 Buy now
AIChE Undergraduate Student Members Free Free access
AIChE Graduate Student Members Free Free access