基于模型的禽类抗体产生的最佳免疫接种

Model-based optimal immunization for antibody production in birds.

作者信息

Olarte Andres, Clavijo Carlos, Diaz Hernando

机构信息

Department of Electrical Engineering, Universidad Nacional de Colombia, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1453-6. doi: 10.1109/IEMBS.2010.5626860.

DOI:10.1109/IEMBS.2010.5626860

PMID:21096355

Abstract

A dynamic model of the immune response in poultry was developed in order to enhance antibody production. Efficient production of antibodies is very valuable for researchers and physicians since they are used for other molecules detection. Large amounts of poultry-based antibodies are found in birds' eggs. However, inoculation timetables are based on empirical data. A seven differential equation system represents cellular and molecular populations of the humoral immune response in poultry. Model parameters are presented and simulation results reflect the typical immune responses. Finally, a genetic algorithm was designed in order to optimize antibody production.

摘要

为了提高抗体产量，建立了家禽免疫反应的动态模型。高效生产抗体对研究人员和医生非常有价值，因为抗体可用于检测其他分子。鸟类的卵中含有大量基于家禽的抗体。然而，接种时间表是基于经验数据制定的。一个七阶微分方程系统代表了家禽体液免疫反应的细胞和分子群体。给出了模型参数，模拟结果反映了典型的免疫反应。最后，设计了一种遗传算法以优化抗体生产。