Karanam Aravind, Rappel Wouter-Jan
Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.
Quant Plant Biol. 2022 Dec 20;3:e29. doi: 10.1017/qpb.2022.26. eCollection 2022.
Signalling and genetic networks underlie most biological processes and are often complex, containing many highly connected components. Modelling these networks can provide insight into mechanisms but is challenging given that rate parameters are often not well defined. Boolean modelling, in which components can only take on a binary value with connections encoded by logic equations, is able to circumvent some of these challenges, and has emerged as a viable tool to probe these complex networks. In this review, we will give an overview of Boolean modelling, with a specific emphasis on its use in plant biology. We review how Boolean modelling can be used to describe biological networks and then discuss examples of its applications in plant genetics and plant signalling.
信号传导和遗传网络是大多数生物过程的基础，且通常很复杂，包含许多高度连接的组件。对这些网络进行建模可以深入了解其机制，但鉴于速率参数往往定义不明确，这具有挑战性。布尔建模中，组件只能取二元值，连接由逻辑方程编码，它能够规避其中一些挑战，并已成为探索这些复杂网络的可行工具。在本综述中，我们将概述布尔建模，特别强调其在植物生物学中的应用。我们回顾布尔建模如何用于描述生物网络，然后讨论其在植物遗传学和植物信号传导中的应用实例。
