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CXT-MAIN:一个用于确定药代动力学系统加权函数解析形式的软件包。

CXT-MAIN: a software package for determination of the analytical form of the pharmacokinetic system weighting function.

作者信息

Dedík L, Durisová M

机构信息

Faculty of Mechanical Engineering, Slovak Technical University, Bratislava, Slovak Republic.

出版信息

Comput Methods Programs Biomed. 1996 Nov;51(3):183-92. doi: 10.1016/s0169-2607(96)01770-1.

Abstract

A new procedure specific for the determination of the analytical form of the model weighting function of a complex multicomponent pharmacokinetic system with or without a shunt and time delays is described. The procedure is based on the theory of linear dynamic systems and on a circulatory pharmacokinetic model of the living body. The model transfer function of the system under study was obtained by the frequency response method in the form of the ratio of two frequency dependent polynomials. Subsequently, the technique of the partial fraction inversion was employed to determine the analytical form of the model weighting function. Two examples from bioavailability studies in pharmacokinetics are given. The first example presents two estimates of the model weighting function of a pharmacokinetic system obtained by the new procedure and by a polyexponential deconvolution method. To compare these results, two models of the measured system output were determined using the two estimates of the model weighting function, the actual system input and a convolution method. The model weighting function obtained by the new procedure yielded a better model approximation of the output data than that obtained by the polyexponential deconvolution method. The second example, using the new procedure, presents the determination of the model weighting function of such a system that the deconvolution methods, commonly used in pharmacokinetics, cannot be applied to.

摘要

本文描述了一种新方法,该方法专门用于确定具有或不具有分流和时间延迟的复杂多组分药代动力学系统的模型加权函数的解析形式。该方法基于线性动态系统理论和活体循环药代动力学模型。通过频率响应法,以两个频率相关多项式之比的形式获得了所研究系统的模型传递函数。随后,采用部分分式反演技术来确定模型加权函数的解析形式。文中给出了药代动力学中生物利用度研究的两个例子。第一个例子展示了通过新方法和多指数反褶积法获得的药代动力学系统模型加权函数的两种估计值。为了比较这些结果,使用模型加权函数的两种估计值、实际系统输入和卷积法确定了测量系统输出的两种模型。与多指数反褶积法相比,新方法获得的模型加权函数对输出数据的模型逼近效果更好。第二个例子使用新方法,展示了对药代动力学中常用的反褶积方法无法应用的系统的模型加权函数的确定。

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