An agent-based modeling approach for stochastic molecular events of biochemical networks
Modeling and simulation of intracellular biochemical networks is a critical method to study the biological system behaviors. The phenomena of self-organization play a crucial role in biological systems and Agentbased modeling (ABM) has been widely viewed as a computational framework to study the complex systems. Agent-based modeling approach has tremendous potential in advancing studying the phenomena of self-organization in biochemical networks, but is still under-utilized both in theory and practice. In this study we present a new bottom-up computational modeling and simulation paradigm —Agent-Based Modeling (ABM) with Reaction Agents (ABM-RA) which models the biochemical networks based on selforganization and is a mathematical formallzation of a multi-agent system for the biochemical reaction networks. Experiment results show that ABM-RA is a generic approach. It is thus a fundamentally better fit to a real biological system than the top-down approach which relies heavily on human abstractions.
Systems Biology Agent-based Modeling Agent-based Simulation Molecular Scale
Zhang Kuan Qin Rui-bin Zheng Hao-ran Niu Jun-qing
Department of Computer Science and Technology,University of Science and Technology of China,No.96, J Department of Computer Science and Technology, University of Science and Technology of China,No.96,
国际会议
深圳
英文
759-763
2011-03-28（万方平台首次上网日期，不代表论文的发表时间）