Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334060
