Exploring the gap between dynamic and constraint-based models of metabolism.
Exploring the gap between dynamic and constraint-based models of metabolism.
复制标题
探索动态和基于约束的新陈代谢模型之间的差距。
DOI：
10.1016/j.ymben.2012.01.003
复制
发表时间：
2012
影响因子：
8.4
通讯作者：
Tidor,Bruce
中科院分区：
文献类型：
--
作者：
Machado,Daniel;Costa,RafaelS;Ferreira,EugénioC;Rocha,Isabel;Tidor,Bruce
Systems biology provides new approaches for metabolic engineering through the development of models and methods for simulation and optimization of microbial metabolism. Here we explore the relationship between two modeling frameworks in common use namely, dynamic models with kinetic rate laws and constraint-based flux models. We compare and analyze dynamic and constraint-based formulations of the same model of the central carbon metabolism of Escherichia coli. Our results show that, if unconstrained, the space of steady states described by both formulations is the same. However, the imposition of parameter-range constraints can be mapped into kinetically feasible regions of the solution space for the dynamic formulation that is not readily transferable to the constraint-based formulation. Therefore, with partial kinetic parameter knowledge, dynamic models can be used to generate constraints that reduce the solution space below that identified by constraint-based models, eliminating infeasible solutions and increasing the accuracy of simulation and optimization methods.
