Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA.
Cancer Res. 2010 Jan 15;70(2):440-6. doi: 10.1158/0008-5472.CAN-09-1947. Epub 2010 Jan 12.
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.
这篇简要的观点文章集中讨论了药物联合研究中在实验设计、数据采集、数据解释和计算机模拟方面最常见的错误和陷阱,以及应该做和不应该做的事情。Chou-Talalay 药物联合方法基于中值效应方程,该方程源自质量作用定律原理,这是提供单一实体和多个实体之间以及一阶和更高阶动力学之间共同联系的统一理论。这个通用方程包含了生物化学和生物物理学中的 Michaelis-Menten、Hill、Henderson-Hasselbalch 和 Scatchard 方程。Chou-Talalay 的组合指数(CI)定理为药物联合中的相加效应(CI = 1)、协同作用(CI < 1)和拮抗作用(CI > 1)提供了定量定义。该理论还提供了在任何效应和剂量水平下自动计算机模拟协同作用和/或拮抗作用的算法,分别如图中所示的 CI 图和等效应线图。
Integr Biol (Camb). 2011-3-14
Leuk Lymphoma. 2008-11
Acta Paediatr Taiwan. 2000