A scalable systems analysis approach for regulated metabolic networks

Author

Jensen, Paul A. ; Papin, Jason A.

Author_Institution

Dept. of Biomed. Eng., Univ. of Virginia, Charlottesville, VA, USA

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

5464

Lastpage

5465

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.

Keywords

biochemistry; biology computing; cellular biophysics; genetics; genomics; integer programming; molecular biophysics; singular value decomposition; R matrix; biochemical networks; cellular network reconstruction; computational frameworks; flux-balance analysis; genome expression profiling; genome sequencing; integer programming; multiple molecular perturbations; protein production; regulated metabolic networks; scalable systems analysis; singular value decomposition; transcriptional regulatory network; Algorithms; Computer Simulation; Gene Expression Regulation; Models, Biological; Proteome; Signal Transduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5334060

Filename

5334060