Kinetic modeling using S-systems and lin-log approaches

被引:26
作者
Wang, Feng-Sheng
Ko, Chih-Lung
Voit, Eberhard O.
机构
[1] Georgia Inst Technol, Wallace H Coulter Dept Biomed Engn, Atlanta, GA 30332 USA
[2] Emory Univ, Atlanta, GA 30332 USA
[3] Natl Chung Cheng Univ, Dept Chem Engn, Chiayi 62102, Taiwan
关键词
parameter estimation; Biochemical Systems Theory; dynamic modeling; amino acid; kinetic parameters; fermentation; bioprocess control;
D O I
10.1016/j.bej.2006.11.002
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We analyze the growth dynamics and production of an industrially interesting amino acid in a recombinant Escherichia coli strain, using in parallel two alternative modeling frameworks, namely S-systems and lin-log models. These models have identical steady-state solutions, but differ in their representation of transients. The models were parameterized with data from two bioprocesses that differed in their initial culture concentrations and then used to predict responses under yet a different initial culture regimen. Among the S-system models, several alternatives representing slightly different pathway structures, were tested. All were found to be capable of capturing the dynamics of all variables in the test systems and also of predicting the dynamic responses under new conditions. The lin-log models also captured the dynamics, but not as well as the S-system models. A probable reason for the inferior performance of lin-log models is their intrinsic property of not representing situations well where variable concentrations are moderately small. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:238 / 247
页数:10
相关论文
共 45 条
[31]  
2-A
[32]   Evolutionary optimization with data collocation for reverse engineering of biological networks [J].
Tsai, KY ;
Wang, FS .
BIOINFORMATICS, 2005, 21 (07) :1180-1188
[33]   The Mathematics of Metabolic Control Analysis revisited [J].
Visser, D ;
Heijnen, JJ .
METABOLIC ENGINEERING, 2002, 4 (02) :114-123
[34]   The intricate side of systems biology [J].
Voit, E ;
Neves, AR ;
Santos, H .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (25) :9452-9457
[35]  
VOIT E, 1991, CANONICAL NONLINEAR
[36]   Regulation of glycolysis in Lactococcus lactis:: an unfinished systems biological case study [J].
Voit, E. O. ;
Almeida, J. ;
Marino, S. ;
Lall, R. ;
Goel, G. ;
Neves, A. R. ;
Santos, H. .
IEE PROCEEDINGS SYSTEMS BIOLOGY, 2006, 153 (04) :286-298
[37]  
Voit E. O., 2000, Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists
[38]   S-SYSTEM MODELING OF COMPLEX-SYSTEMS WITH CHAOTIC INPUT [J].
VOIT, EO .
ENVIRONMETRICS, 1993, 4 (02) :153-186
[39]   Modeling forest growth .1. Canonical approach [J].
Voit, EO ;
Sands, PJ .
ECOLOGICAL MODELLING, 1996, 86 (01) :51-71
[40]  
VOIT EO, 1982, J FERMENT TECHNOL, V60, P233