In silico Systems Biology: Cellular and Organismal Models | AIChE

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In silico Systems Biology: Cellular and Organismal Models

Chair(s)

Senger, R. S., Virginia Tech

Co-chair(s)

Young, J., Vanderbilt University

A critical component of systems biology is the development of in silico approaches to understand systems of interest. 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 examined.

Presentations

8:30 AM
(264a) An Improved Genome-Scale Metabolic Network Model for Scheffersomyces Stipitis
8:48 AM
(264b) A Kinetic Model of Escherichia coli Core Metabolism Satisfying Multiple Sets of Mutant Flux Data
9:06 AM
(264c) Synchronization of Cellular Skeleton Determines the Nature of Motions of Cancerous Vs. Non-Cancerous Cells
9:24 AM
(264d) Minimal Reaction Network for Oscillations in the MAPK Signalling Cascade
9:42 AM
(264e) Genome Based Metabolic Flux Analysis (MFA) of Methanococcus Maripaludis for Improved Methane Productivity
10:00 AM
(264f) Impacts of Low Peclet Number Flow and Oscillatory Flow on Autocrine Signaling
10:18 AM
(264g) A within Slide Normalization Strategy for cDNA Microarray Data Based on Ratio Statistics
10:36 AM
(264h) Constructing Influenza‐induced Host Response Models from Microarray Data

Topics 

Biological Engineering
Synthetic Biology
Systems Biology

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