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Title: An entropy-like index of bifurcational robustness for metabolic systems

Abstract

Natural and synthetic metabolic pathways need to retain stability when faced against random changes in gene expression levels and kinetic parameters.

Authors:
 [1];  [1];  [2]
  1. Department of Chemical and Biomolecular Engineering; University of California, Los Angeles; Los Angeles, USA
  2. Department of Chemical and Biomolecular Engineering; University of California, Los Angeles; Los Angeles, USA; UCLA-DOE Institute for Genomics and Proteomics; University of California, Los Angeles
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC) (United States). Center on Nanostructuring for Efficient Energy Conversion (CNEEC)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1369994
DOE Contract Number:  
SC0001060
Resource Type:
Journal Article
Resource Relation:
Journal Name: Integrative Biology; Journal Volume: 7; Journal Issue: 8; Related Information: CNEEC partners with Stanford University (lead); Carnegie Institution at Stanford; Technical University of Denmark
Country of Publication:
United States
Language:
English

Citation Formats

Lafontaine Rivera, Jimmy G., Lee, Yun, and Liao, James C.. An entropy-like index of bifurcational robustness for metabolic systems. United States: N. p., 2015. Web. doi:10.1039/c4ib00257a.
Lafontaine Rivera, Jimmy G., Lee, Yun, & Liao, James C.. An entropy-like index of bifurcational robustness for metabolic systems. United States. doi:10.1039/c4ib00257a.
Lafontaine Rivera, Jimmy G., Lee, Yun, and Liao, James C.. Thu . "An entropy-like index of bifurcational robustness for metabolic systems". United States. doi:10.1039/c4ib00257a.
@article{osti_1369994,
title = {An entropy-like index of bifurcational robustness for metabolic systems},
author = {Lafontaine Rivera, Jimmy G. and Lee, Yun and Liao, James C.},
abstractNote = {Natural and synthetic metabolic pathways need to retain stability when faced against random changes in gene expression levels and kinetic parameters.},
doi = {10.1039/c4ib00257a},
journal = {Integrative Biology},
number = 8,
volume = 7,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}