Metabolic modeling of microbial strains in silico. Export

@article{citeulike:1065549, abstract = {The large volume of genome-scale data that is being produced and made available in databases on the World Wide Web is demanding the development of integrated mathematical models of cellular processes. The analysis of reconstructed metabolic networks as systems leads to the development of an in silico or computer representation of collections of cellular metabolic constituents, their interactions and their integrated function as a whole. The use of quantitative analysis methods to generate testable hypotheses and drive experimentation at a whole-genome level signals the advent of a systemic modeling approach to cellular and molecular biology.}, address = {Dept Bioengineering, University of California, San Diego, La Jolla, CA 92093-0412, USA.}, author = {Covert, M. W. and Schilling, C. H. and Famili, I. and Edwards, J. S. and Goryanin, I. I. and Selkov, E. and Palsson, B. O.}, citeulike-article-id = {1065549}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11246024}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11246024}, issn = {0968-0004}, journal = {Trends Biochem Sci}, keywords = {bacteria, metabolic, metabolism, network, pathways, prediction, simulation}, month = {March}, number = {3}, pages = {179--186}, posted-at = {2007-01-26 17:36:46}, priority = {2}, title = {Metabolic modeling of microbial strains in silico.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11246024}, volume = {26}, year = {2001} }

TY - JOUR ID - citeulike:1065549 L3 - citeulike-article-id:1065549 N2 - The large volume of genome-scale data that is being produced and made available in databases on the World Wide Web is demanding the development of integrated mathematical models of cellular processes. The analysis of reconstructed metabolic networks as systems leads to the development of an in silico or computer representation of collections of cellular metabolic constituents, their interactions and their integrated function as a whole. The use of quantitative analysis methods to generate testable hypotheses and drive experimentation at a whole-genome level signals the advent of a systemic modeling approach to cellular and molecular biology. IS - 3 JF - Trends Biochem Sci SN - 0968-0004 AD - Dept Bioengineering, University of California, San Diego, La Jolla, CA 92093-0412, USA. EP - 186 TI - Metabolic modeling of microbial strains in silico. VL - 26 SP - 179 KW - bacteria KW - metabolic KW - metabolism KW - network KW - pathways KW - prediction KW - simulation AU - Covert, MW AU - Schilling, CH AU - Famili, I AU - Edwards, JS AU - Goryanin, II AU - Selkov, E AU - Palsson, BO PY - 2001/03// UR - http://view.ncbi.nlm.nih.gov/pubmed/11246024 ER -