通过AND门实现多稳态性的模块化方法
A modular approach to achieve multistationarity using AND-gates
AI总结：
本文提出利用AND门构建的 conjunctive 网络，通过组合工具预测稳态数，为基因网络设计提供模块化方法以实现任意数量的表型。
摘要：
微分方程系统已被用于建模生物系统，如基因和神经网络。特别感兴趣的问题是理解稳定稳态的数量。本文提出 conjunctive 网络（通过AND门创建的微分方程系统）以实现任何所需数量的稳定稳态。我们的方法利用组合工具从布线图的结构预测稳定稳态的数量。此外，AND门已通过实验成功工程化用于基因网络，因此我们的结果提供了一种模块化方法来设计基因网络，以实现任意数量的表型。
英文摘要：
Systems of differential equations have been used to model biological systems such as gene and neural networks. A problem of particular interest is to understand the number of stable steady states. Here we propose conjunctive networks (systems of differential equations equations created using AND gates) to achieve any desired number of stable steady states. Our approach uses combinatorial tools to predict the number of stable steady states from the structure of the wiring diagram. Furthermore, AND gates have been successfully engineered by experimentalists for gene networks, so our results provide a modular approach to design gene networks that achieve arbitrary number of phenotypes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
