Parameter optimization of pharmacokinetics based on artificial immune network

• Published in: Applied mathematics and mechanics Vol. 29; no. 4; pp. 549 - 558
• Main Author: 刘丽 周少丹 卢红文 谢芬 须文波
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai University Press 01-04-2008; School of Information Technology,Jiangnan University,Wuxi 214122,Jiangsu Province,P.R.China%Suzhou University Affiliated Forth People's Hospital,Wuxi Forth People's Hospital,Wuxi 214036,Jiangsu Province,P.R.China
• Subjects: Applications of Mathematics; Classical Mechanics; Fluid- and Aerodynamics; Mathematical Modeling and Industrial Mathematics; Mathematics; Mathematics and Statistics; Partial Differential Equations; 人造免疫网络; 药物动力学; 计算机技术; 隔离模式; 68T20; artificial immune network; compartment model; TP273; pharmacokinetics; simplex; remifentanil
• ISSN: 0253-4827; 1573-2754
• DOI: 10.1007/s10483-008-0414-7

A new method for parameter optimization of pharmacokinetics based on an artificial immune network named PKAIN is proposed. To improve local searching ability of the artificial immune network, a partition-based concurrent simplex mutation is developed. By means of evolution of network cells in the PKAIN artificial immune network, an optimal set of parameters of a given pharmacokinetic model is obtained. The Laplace transform is applied to the pharmacokinetic differential equations of remifentanil and its major metabolite, remifentanil acid. The PKAIN method is used to optimize parameters of the derived compartment models. Experimental results show that the twocompartment model is sufficient for the pharmacokinetic study of remifentanil acid for patients with mild degree of renal impairment.