Session: In Silico Systems Biology: Cellular and Organismal Models (2010 Annual Meeting)

Description:

A critical component of systems biology is the development of in silico approaches to understand systems of interest. For this session, papers discussing novel uses of in silico methods to understand biological systems, as well as the development of new technologies and algorithms for in silico systems analysis are welcome. Research including experimental work is particularly encouraged.

Sponsor:

Topical A: Systems Biology

Chair:

Mark P. Styczynski
Assistant Professor
Georgia Institute of Technology
School of Chemical and Biomolecular Engineering
311 Ferst Drive
Atlanta, GA 30332
Phone Number: 617-324-1704
Email: Mark.Styczynski@chbe.gatech.edu

Co-Chair:

Matthew J. Lazzara
University of Pennsylvania
Chemical and Biomolecular Engineering
311A Towne Building
Philadelphia, PA 19104-6393
Phone Number: 215-746-2264
Email: mlazzara@seas.upenn.edu

Papers:

404b

Study of Yeast Sphingolipid Metabolism with a Detailed Kinetic Model
Paolo Angelino, Ecole Polytechnique Fédérale de Lausanne (EPFL); Vassily Hatzimanikatis, Ecole Polytechnique Fédérale de Lausanne (EPFL)

404c

AUMIC: An Automated Tool for Developing Dynamic Metabolic Models
Hyun-Seob Song, Purdue University; Dorwaiswami Ramkrishna, Purdue University

404d

Probabilistic Integrative Modeling of Genome-Scale Metabolic and Regulatory Networks in Escherichia Coli and Mycobacterium Tuberculosis
Sriram Chandrasekaran, Institute for Genomic Biology, University of Illinois, Urbana-Champaign; Nathan, D. Price, Institute for Genomic Biology, University of Illinois, Urbana-Champaign

404e

Metabolic Reconstruction and Analysis of Methane Producing Methanosarcina Barkeri
Matthew C. Gonnerman, UIUC; Nathan, D. Price, Institute for Genomic Biology, University of Illinois, Urbana-Champaign

404f

The Genome-Scale Model Biomass Constituting Equation Plays a Large Role in Predicting Biofuels Production
Ryan S. Senger, Virginia Tech

See more of this Group/Topical: Topical A: Systems Biology

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