丝裂原活化蛋白激酶（Mitogen-activated protein kinases，MAPKs）是将细胞外刺激信号传导至内胞及其核内的重要传导通道之一。激活该通道将调控细胞的增殖、分化、转化以及生存与凋亡等过程。 MAPK 信号传导通道在细胞内构成了一个复杂的传导系统，而用传统的生物学方法来研究该大型复杂的网络遇到了实质性困难，因此近年来数学建模已经成为了一个研究该信号传导网络的动态特征的有力工具。本项目的主要目标是建立大型的MAPK细胞信号传导通道的数学模型以及单细胞内的多尺度随机模型数学模型，并对影响MAPK细胞信号传导通道的信号输出的各种因素展开系统的研究，同时根据数字模拟提出具有医学和生物意义的预测。针对建模过程中所提出的挑战性问题，本项目拟设计新颖的数学建模方法和有效的参数估计算法。本课题所设计的研究均位于计算生物学的前沿，其研究具有重要的理论意义和较强的生物和医学应用前景.

The mitogen-activated protein kinase (MAPK) pathway has been implicated as one of the most important pathways mediating signal transduction for a diverse group of extracellular stimuli. Activation of this pathway results in the regulation of the fundamental cellular functions such as cell proliferation, survival/apoptosis, differentiation and motility. The MAPK pathway is a complex network inside the cell, which results in significant challenges to using biological research methods to study this pathway. The major goal of this project is to design large-scale model mathematical models of the MAPK pathway using proteomic data and multi-scale stochastic model using the single cell experimental data. We will also systemically investigate the influence of major perturbation on the system output, and make predictions according to computer simulations. To address the challenging issues rising from the procedure of modeling, this project will develop novel modeling methodologies and effective inference methods for estimating unknown parameters in the model. The proposed research work in this project is at the frontier of computational biology, and thus has substantial importance in the theoretical study of mathematical biology and potential applications in biology and medicine