Gowda Tejaswi, Vrudhula Sarma, Kim Seungchan
School of Computing and Informatics, Arizona State University, Tempe, Arizona, USA.
Ann N Y Acad Sci. 2009 Mar;1158:71-81. doi: 10.1111/j.1749-6632.2008.03754.x.
Gene regulation modeling is one of the most active research topics in systems biology. The aim of modeling gene regulation is to understand how individual genes function and interact with each other to create complex biological phenomena. In this paper we propose a novel gene regulatory model based on threshold logic. The approach is developed by a combination of threshold logic properties and perceptron learning techniques. This work does not focus on determination of the pair-wise interactions among genes. Instead, the objective of this work is to generate a model that will describe and predict phenomena associated with a biological system. The utility of the approach is demonstrated by modeling a cellular system of 50 genes. The model could effectively replicate both the steady state and the transient behavior of genes.
基因调控建模是系统生物学中最活跃的研究课题之一。基因调控建模的目的是了解单个基因如何发挥功能以及它们如何相互作用以产生复杂的生物现象。在本文中，我们提出了一种基于阈值逻辑的新型基因调控模型。该方法是通过结合阈值逻辑属性和感知器学习技术开发的。这项工作并不专注于确定基因之间的成对相互作用。相反，这项工作的目标是生成一个能够描述和预测与生物系统相关现象的模型。通过对一个由50个基因组成的细胞系统进行建模，证明了该方法的实用性。该模型能够有效地复制基因的稳态和瞬态行为。
