Automated Physico-Chemical Cell Model Development through Information Theory

Ortoleva, Peter J.

Indiana University, Bloomington, IN

关键词: Calibration;    Thermodynamics Cell Modeling, Genetics, Metabolics, Optimization;    59 Basic Biological Sciences;    Information Theory;    Bifurcation;   

DOI  :  10.2172/860659
RP-ID  :  DOE-ER25498
RP-ID  :  FG02-01ER25498
RP-ID  :  860659

美国|英语

来源: UNT Digital Library

【 摘 要 】

The objective of this project was to develop predictive models of the chemical responses of microbial cells to variations in their surroundings. The application of these models is optimization of environmental remediation and energy-producing biotechnical processes.The principles on which our project is based are as follows: chemical thermodynamics and kinetics; automation of calibration through information theory; integration of multiplex data (e.g. cDNA microarrays, NMR, proteomics), cell modeling, and bifurcation theory to overcome cellular complexity; and the use of multiplex data and information theory to calibrate and run an incomplete model. In this report we review four papers summarizing key findings and a web-enabled, multiple module workflow we have implemented that consists of a set of interoperable systems biology computational modules.