Modelling Immune System: Principles, Models, Analysis and Perspectives

被引:17
作者
Li, Xiang-hua [1 ]
Wang, Zheng-xuan [1 ]
Lu, Tian-yang [2 ]
Che, Xiang-jiu [1 ]
机构
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
[2] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
immune system modelling; agent-based simulation; complex adaptive system (CAS); HIV; HIV; DYNAMICS; INFECTION;
D O I
10.1016/S1672-6529(08)60101-8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The biological immune system is a complex adaptive system. There are lots of benefits for building the model of the immune system. For biological researchers, they can test some hypotheses about the infection process or simulate the responses of some drugs. For computer researchers, they call build distributed, robust and fault tolerant networks inspired by the functions of the immune system. This paper provides a comprehensive survey of the literatures on modelling the immune system. From the methodology perspective, the paper compares and analyzes the existing approaches and models, and also demonstrates the focusing research effort on the future immune models in the next few years.
引用
收藏
页码:77 / 85
页数:9
相关论文
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