A scalable systems analysis approach for regulated metabolic networks

Paul A Jensen; Jason A Papin

doi:10.1109/IEMBS.2009.5334060

A scalable systems analysis approach for regulated metabolic networks

Annu Int Conf IEEE Eng Med Biol Soc. 2009:2009:5464-5. doi: 10.1109/IEMBS.2009.5334060.

Authors

Paul A Jensen¹, Jason A Papin

Affiliation

¹ Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908 USA.

PMID: 19964682
DOI: 10.1109/IEMBS.2009.5334060

Abstract

High-throughput data such as genome sequencing and genome expression profiling have enabled the reconstruction of cellular networks. These networks have been represented in computational frameworks that can be used to make testable predictions concerning phenotypes under a variety of experimental conditions and multiple molecular perturbations. This presentation will detail several recent advances in the analysis of these networks as well as provide an outlook of remaining challenges.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms*
Computer Simulation
Gene Expression Regulation / physiology*
Models, Biological*
Proteome / metabolism*
Signal Transduction / physiology*

Substances

Proteome