摘要
为描述免疫系统中细胞微粒的多样性以及微粒运动和相互作用的随机性,在传统元胞自动机基础上,借用粗粒化思想,将多个状态变量引入元胞之中,并提出了"次级元胞"的概念,以表示不同类型的细胞粒子;应用该模型模拟乙型肝炎病毒(HBV)在无药物治疗情况下的自然感染和抗HBV药物药效比较,以及考察肝细胞感染率的影响因素,获得了较好的效果。
To describe the diversity of cell particulates and the randomness of movement and interaction between the particulates in immune system,based on the traditional Cellular Automata,it imports more state variables and puts forward a new conceptsecondary cell to express different types of cell particles.The model has made a good effect on simulating the natural infection of Hepatitis B Virus （HBV） and the efficacy of anti-HBV drugs.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第4期201-203,207,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60661003)
江西省自然科学基金(the Natural Sci-ence Foundation of Jiangxi Province of China under Grant No.0611060)
