Palmisano A, Mura I, Priami C
CoSBi, Trento, Italy.
Pac Symp Biocomput. 2009:239-50. doi: 10.1142/9789812836939_0023.
Modeling in biology is mainly grounded in mathematics, and specifically on ordinary differential equations (ODE). The programming language approach is a complementary and emergent tool to analyze the dynamics of biological networks. Here we focus on BlenX showing how it is possible to easily re-use ODE models within this framework. A budding yeast cell cycle example demonstrates the advantages of using a stochastic approach. Finally, some hints are provided on how the automatically translated model can take advantage of the full power of BlenX to analyze the control mechanisms of the cell cycle machinery.
生物学中的建模主要基于数学，特别是常微分方程（ODE）。编程语言方法是分析生物网络动态的一种补充性且新兴的工具。在这里，我们重点介绍BlenX，展示如何在这个框架内轻松重用ODE模型。一个出芽酵母细胞周期的例子展示了使用随机方法的优势。最后，就自动翻译的模型如何利用BlenX的全部功能来分析细胞周期机制的控制机制提供了一些提示。
