An agent-based modeling approach at molecular scale for biochemical networks: simulating from stochastic molecular events
Modeling and simulation of intracellular biochemical networks is essential to further our understanding of biological system behaviors. Most of current modeling approaches used in Computational Systems Biology considers general phenomena of the whole system but ignoring the micro detail and individuality of each molecule. In this study, we present a new computational modeling paradigm, agent-based modeling at molecular scale (ABMMS), which simulates the interactions between internal autonomous agents and external environment. We also verified the accuracy and efficiency of our strategy with several case studies, and the experimental results demonstrated that the strategy matches well with the ODE in the macroscopic behaviors and also allows further analysis of individual agent behaviors at molecule level.
systems biology agent-based modeling agent-based simulation molecular scale
Niu Jun-qing Zhang kuan Zheng Hao-ran
Department of Computer Science and Technology,University of Science and Technology of China Hefei,China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）