对抗
药品
药物作用
应用数学
希尔微分方程
规范
动作(物理)
药物相互作用
医学
数学
计算机科学
药理学
化学
生物系统
统计
物理
微分方程
生物化学
数学分析
生物
一阶偏微分方程
量子力学
受体
精确微分方程
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2010-01-13
卷期号:70 (2): 440-446
被引量:4989
标识
DOI:10.1158/0008-5472.can-09-1947
摘要
Abstract This brief perspective article focuses on the most common errors and pitfalls, as well as the do's and don'ts in drug combination studies, in terms of experimental design, data acquisition, data interpretation, and computerized simulation. The Chou-Talalay method for drug combination is based on the median-effect equation, derived from the mass-action law principle, which is the unified theory that provides the common link between single entity and multiple entities, and first order and higher order dynamics. This general equation encompasses the Michaelis-Menten, Hill, Henderson-Hasselbalch, and Scatchard equations in biochemistry and biophysics. The resulting combination index (CI) theorem of Chou-Talalay offers quantitative definition for additive effect (CI = 1), synergism (CI < 1), and antagonism (CI > 1) in drug combinations. This theory also provides algorithms for automated computer simulation for synergism and/or antagonism at any effect and dose level, as shown in the CI plot and isobologram, respectively. Cancer Res; 70(2); 440–6
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