Forrest Stephanie, Beauchemin Catherine
Department of Computer Science, University of New Mexico, Albuquerque, NM 87131, USA.
Immunol Rev. 2007 Apr;216:176-97. doi: 10.1111/j.1600-065X.2007.00499.x.
This review describes a body of work on computational immune systems that behave analogously to the natural immune system. These artificial immune systems (AIS) simulate the behavior of the natural immune system and in some cases have been used to solve practical engineering problems such as computer security. AIS have several strengths that can complement wet lab immunology. It is easier to conduct simulation experiments and to vary experimental conditions, for example, to rule out hypotheses; it is easier to isolate a single mechanism to test hypotheses about how it functions; agent-based models of the immune system can integrate data from several different experiments into a single in silico experimental system.
本综述描述了一系列关于行为类似于自然免疫系统的计算免疫系统的研究工作。这些人工免疫系统（AIS）模拟自然免疫系统的行为，在某些情况下已被用于解决实际工程问题，如计算机安全。AIS具有多种优势，可以补充湿实验室免疫学。进行模拟实验和改变实验条件（例如排除假设）更容易；分离单一机制以测试关于其功能的假设更容易；基于主体的免疫系统模型可以将来自几个不同实验的数据整合到一个单一的计算机模拟实验系统中。
