Optimizing method of Michaelis-Menten pharmacokinetic parameters of bolus intravenous administration
- VernacularTitle:一种米氏消除药物药代动力学参数K_m和V_m的优化方法
- Author:
Yinfa SU
- Publication Type:Journal Article
- Keywords:
pharmacokinetics;
Runge-Kutta algorithm;
parameter;
Excel software;
program solution
- From:
Chinese Journal of Clinical Pharmacology and Therapeutics
2004;0(10):-
- CountryChina
- Language:Chinese
-
Abstract:
As the fitting value of Michaelis-Menten pharmacokinetic parameters K_m and V_m of accurate linear regress (ALR) or improved Hanes-Woolf method has some deviation, a optimizing method of K_m and V_m was used in this paper. The result of ALR or improved HanesWoolf method was taken as the primary value of parameters(V_m and K_m,). The method combined Runge-Kutta algorithm with program solution in Excel software (RK-PS) was used to minimum weighting residual square sum [∑ (c-c~*)2/c] of concentration. The primary value of parameters was optimized. The RK-PS method was better than ALR method and improved Hanes-Woolf method in two examples.
