Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network

LIU Li; ZHOU Shao-dan; LU Hong-wen; XIE Fen; XU Wen-bo

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Article Navigation > Applied Mathematics and Mechanics > 2008 > 29(4): 496-504

LIU Li, ZHOU Shao-dan, LU Hong-wen, XIE Fen, XU Wen-bo. Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network[J]. Applied Mathematics and Mechanics, 2008, 29(4): 496-504.

Citation:

LIU Li, ZHOU Shao-dan, LU Hong-wen, XIE Fen, XU Wen-bo. Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network[J]. Applied Mathematics and Mechanics, 2008, 29(4): 496-504.

Citation:

LIU Li, ZHOU Shao-dan, LU Hong-wen, XIE Fen, XU Wen-bo. Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network[J]. Applied Mathematics and Mechanics, 2008, 29(4): 496-504.

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Parameter Optimization of Pharmacokinetics Based on Artificial Immune Network

1.
School of Information Technology, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China;

Received Date: 2007-10-10
Rev Recd Date: 2008-02-27
Publish Date: 2008-04-15

Abstract

Abstract

A new method for parameter optimization of pharmacokinetics based on 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 was obtained.The Laplace transform was applied to the pharmacokinetic differential equations of remifentanil and its major metabolite,remifentanil acid.The PKAIN method was used to optimize parameters of the derived compartment models.Experimental results show that two-compartment model is sufficient for the pharmacokinetic study of remifentail acid for patients with mild degree of renal impairment.
- artificial immune network,
- pharmacokinetics,
- compartment model,
- simplex,
- remifentanil

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References(26)

References

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