基于强连通分量的13C MFA计算模型稳定性判断

基于碳同位素标记实验的代谢通量分析，是代谢工程中一种强大的定量分析工具。^13C MFA在进行定量分析时，需要给定代谢网络及其对应的碳原子转移网络，同时为了保证计算的正确性和可靠性，要求所给定的碳原子转移网络中不能含有陷阱（trap）。本文基于有向图中强连通分量的概念，给出了trap的一种形式化定义，并利用一种基于深度优先搜索的图论算法，实现了对trap的自动检测。实验结果表明，该算法能够得到正确可靠的结果。

Estimating Stability of 13C MFA Calculating Model Through the Concept of Strong Connected Component

Carbon-labeling experiment （CLE） -based metabolic flux analysis （^13C MFA） has become a powerful quantitative analysis tool in metabolic engineering. The metabolie network and corresponding carbon transition network should be provided before ^13C MFA analysis. In order to assure the accuracy and reliability of the computing results, the carbon transition network can not contain a trap. In this paper, using the concept of strong connected in directed graph, a formal definition of trap was provided. Meanwhile, we proposed an approach for automatic detecting of trap through a depth-first search based graph theory algorithm. Experimental results illustrated the validity and reliability of our method.