Parameter optimization of pharmacokinetics based on artificial immune network |
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Authors: | Li Liu Shao-dan Zhou Hong-wen Lu Fen Xie Wen-bo Xu |
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Institution: | 1. School of Information Technology,Jiangnan University,Wuxi 214122,Jiangsu Province,P.R.China 2. Suzhou University Affiliated Forth People's Hospital,Wuxi Forth People's Hospital,Wuxi 214036,Jiangsu Province,P.R.China |
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Abstract: | 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 difierential 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. |
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Keywords: | artificial immune network pharmacokinetics compartment model simplex remifentanil |
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