CEIT and TECNUN, University of Navarra, Manuel de Lardizabal 15, 20018 San Sebastian, Spain.
Bioinformatics. 2009 Oct 15;25(20):2723-9. doi: 10.1093/bioinformatics/btp441. Epub 2009 Jul 20.
Different mathematical methods have emerged in the post-genomic era to determine metabolic pathways. These methods can be divided into stoichiometric methods and path finding methods. In this paper we detail a novel optimization model, based upon integer linear programming, to determine metabolic pathways. Our model links reaction stoichiometry with path finding in a single approach. We test the ability of our model to determine 40 annotated Escherichia coli metabolic pathways. We show that our model is able to determine 36 of these 40 pathways in a computationally effective manner.
在后基因组时代,出现了不同的数学方法来确定代谢途径。这些方法可以分为计量方法和路径发现方法。在本文中,我们详细介绍了一种基于整数线性规划的新型优化模型,用于确定代谢途径。我们的模型将反应计量学与单一方法中的路径发现联系起来。我们测试了我们的模型确定 40 个注释的大肠杆菌代谢途径的能力。我们表明,我们的模型能够以计算有效的方式确定这 40 条途径中的 36 条。