中文摘要：

随着计算生物学和系统生物学研究应用范围的不断拓展，复杂的生物过程需要不同的分析方法去应对。针对典型的流行病免疫防治过程的动态模型，进行分析评价。系统模型经离散化后，应用非线性规划法求解，获得流行病传播免疫过程中各项指标的动态仿真结果；依据生化系统理论方法将动态模型转换为S系统，其特征值表明该系统局部稳定，并存在振荡特性；接着分析了速率常数对模型状态影响的灵敏度以及三个关键参数对系统指标的对数增益影响，通过灵敏度分析，评价了系统的鲁棒性，为今后模型的建立与修正工作做出指导；同时，此项工作也拓宽了生化系统理论的应用范围。

英文摘要：

With the range of application of computational biology and systems biology gradually expanding, the com- plexity of the bioprocess models is also increased. To address this difficult problem, it is required to introduce posi- tive alternative analysis method to cope with it. Taking the dynamic model of the epidemic control process as research object, we established an evaluation model in our laboratory. Firstly, the model was solved with nonlinear program- ming method. The results were shown to be good. Based on biochemical systems theory, the ODE dynamic model was transformed into S-system. The eigen values of the model showed that the system was stable and contained oscil- lation phenomenon. Next the sensitivities of rate constant and logarithmic gains of the three key parameters were an alyzed, as well as the robust of the system. The result indicated that the biochemical systems theory could be applied in different fields more widely.