标题： 一类生化反应网络的路径互信息 显示英文标题

标题： Path mutual information for a class of biochemical reaction networks

摘要： 活细胞在生化组分的时间动力学中编码和传递信息。 因此，获得对生物系统输入输出关系的详细理解需要定量测量，这些测量能够捕捉生化组分完整时间轨迹之间的相互依赖性。 互信息提供了这样的度量，但在随机反应网络的背景下计算互信息存在数学上的挑战。 在这里，我们展示了如何估计通过生化反应相互作用的两种分子物种的完整路径之间的互信息。 我们使用三个简单的案例研究来演示我们的方法。 显示英文摘要

摘要： Living cells encode and transmit information in the temporal dynamics of biochemical components. Gaining a detailed understanding of the input-output relationship in biological systems therefore requires quantitative measures that capture the interdependence between complete time trajectories of biochemical components. Mutual information provides such a measure but its calculation in the context of stochastic reaction networks is associated with mathematical challenges. Here we show how to estimate the mutual information between complete paths of two molecular species that interact with each other through biochemical reactions. We demonstrate our approach using three simple case studies.