Bertens Laura M F, Kleijn Jetty, Hille Sander C, Heiner Monika, Koutny Maciej, Verbeek Fons J
LIACS, Leiden University, Leiden, The Netherlands.
Mathematical Institute, Leiden University, Leiden, The Netherlands.
Nat Comput. 2016;15(4):665-675. doi: 10.1007/s11047-015-9531-4. Epub 2015 Oct 31.
Both Petri nets and differential equations are important modeling tools for biological processes. In this paper we demonstrate how these two modeling techniques can be combined to describe biological gradient formation. Parameters derived from partial differential equation describing the process of gradient formation are incorporated in an abstract Petri net model. The quantitative aspects of the resulting model are validated through a case study of gradient formation in the fruit fly.
Petri网和微分方程都是用于生物过程的重要建模工具。在本文中,我们展示了如何将这两种建模技术结合起来描述生物梯度形成。从描述梯度形成过程的偏微分方程中导出的参数被纳入一个抽象的Petri网模型。通过果蝇梯度形成的案例研究,对所得模型的定量方面进行了验证。