摘要
提出一种基于多层次离散空间和介观水平Agent的层次式多Agent系统仿真细胞信号转导网络。多层次的离散空间可以有效的表示细胞内部环境,而且适于系统的扩展;介观水平Agent封装分子种类的不同状态形式,将系统的复杂性分解在局部范围,并减少了通信以及计算复杂性。给出了对两个MAPK(有时分裂原活化蛋白激酶)通路反馈模型的仿真结果。结果表明基于该方法的仿真与数值仿真结果相吻合,证明了方法的正确性。
A hierarchical MilS （multi-agent system） based on a multi-level discrete space and mesoscopic agent model for signal transduction network modeling and simulation was proposed. The space can effectively represent the heterogeneous cellular space, and is adaptable for systemic expansion. Moreover, the different deformations of one molecular species are packed in one mesoscopic molecule-agent, so that the global complexity is handled by the local state-space, reducing the external communications and computational complexity. The results from simulating two feedback models of MAPK （Mitogen-Activated Protein Kinase） pathway are similar to those of chemical kinetic model, showing the validity of this method
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第17期4703-4707,共5页
Journal of System Simulation
基金
国家自然科技基金重点项目(60434010)
安徽省国际科技合作项目(06088023)
