Belen'kii M S, Schinazi R F
Veterans Affairs Medical Center, Decatur, GA 30033.
Antiviral Res. 1994 Sep;25(1):1-11. doi: 10.1016/0166-3542(94)90089-2.
The development of mathematical models for determining antagonism, synergy or additivism for drug combinations is becoming increasingly important in medical research and medicine. This paper describes improvements in the Chou and Talalay method which provides for the first time confidence intervals for the combination index. The Monte Carlo technique was used to calculate the confidence intervals and to obtain the new parameters which are needed for the modified interaction diagnosis. This new method can be adapted to current as well as future formulae used to evaluate drug combinations. Programs written in Microsoft and Visual Basic were developed for use on commonly available personal computers which we call Combostat.
在医学研究和医学领域，开发用于确定药物组合的拮抗作用、协同作用或相加作用的数学模型变得越来越重要。本文描述了周和塔拉莱方法的改进，该方法首次提供了组合指数的置信区间。蒙特卡罗技术用于计算置信区间并获得修改后的相互作用诊断所需的新参数。这种新方法可适用于当前以及未来用于评估药物组合的公式。我们用微软和Visual Basic编写了程序，以便在常用的个人计算机上使用，我们将其称为Combostat。
