Development of a metabolic network design and optimization framework incorporating implementation constraints: A succinate production case study

被引:33
作者
Cox, SJ
Levanon, SS
Sanchez, A
Lin, H
Peercy, B
Bennett, GN
San, KY
机构
[1] Rice Univ, Dept Bioengn, Houston, TX 77001 USA
[2] Rice Univ, Dept Computat & Appl Math, Houston, TX 77001 USA
[3] Rice Univ, Dept Biochem & Cell Biol, Houston, TX 77001 USA
[4] Rice Univ, Dept Chem Engn, Houston, TX 77001 USA
关键词
pathway design and optimization; elementary flux mode; sensitivity; operational constraints; Escherichia coli; succinate production;
D O I
10.1016/j.ymben.2005.09.006
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 have developed a pathway design and optimization scheme that accommodates genetically and/or environmentally derived operational constraints. We express the full set of theoretically optimal pathways in terms of the underlying elementary flux modes and then examine the sensitivity of the optimal yield to a wide class of physiological perturbations. Though the scheme is general it is best appreciated in a concrete context: we here take succinate production as our model system. The scheme produces novel pathway designs and leads to the construction of optimal succinate production pathway networks. The model predictions compare very favorably with experimental observations. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:46 / 57
页数:12
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