Godfrey K R, Fitch W R
J Pharmacokinet Biopharm. 1984 Apr;12(2):193-221. doi: 10.1007/BF01059278.
This paper deals with aspects of the numerical identifiability of parameters of a model with a capacity-limited elimination rate using a single dose-response curve, namely, the prospects of being able to identify model parameters with any meaning from real data. The concept of linear bounds, first proposed by Tong and Metzler, is described and it is shown that if the Michaelis-Menten constant Km is greater than all the measured concentration values, approximation by a linear model is appropriate. At the other end of the scale, if Km is small compared with measured concentration values, the nonlinear response approximates to a zero-order curve.
本文探讨了使用单剂量反应曲线对具有容量限制消除率的模型参数进行数值识别的各个方面,即从实际数据中识别具有任何意义的模型参数的前景。描述了由Tong和Metzler首次提出的线性边界概念,并表明如果米氏常数Km大于所有测量的浓度值,则采用线性模型进行近似是合适的。在尺度的另一端,如果Km与测量的浓度值相比很小,则非线性响应近似于零级曲线。