Weisbuch G, Oprea M
Santa Fe Institute Suite A, NM 87501.
Bull Math Biol. 1994 Sep;56(5):899-921. doi: 10.1007/BF02458273.
The capacity of a model immune network in terms of the number of different antigens that can be vaccinated against without any memory lost is computed and tested by numerical simulations. We also investigate memory loss and failure to vaccinate due to overcrowding the network with too many antigens. The computations are done for two different strategies for proliferation, one implying all the antigen specific clones and the second one being more thrifty.
通过数值模拟计算并测试了模型免疫网络在不丢失任何记忆的情况下能够针对不同抗原进行接种的能力。我们还研究了由于网络中抗原过多导致的记忆丧失和无法接种疫苗的情况。针对两种不同的增殖策略进行了计算，一种策略涉及所有抗原特异性克隆，另一种则更为节省。
