期刊
DRUG DISCOVERY TODAY
卷 26, 期 8, 页码 2014-2024出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.drudis.2021.06.002
关键词
Combination therapy; Synergy; Response surface models
资金
- American Lebanese Syrian Associated Charities (ALSAC)
The quantitative evaluation of drug combinations is crucial for drug development. Index-based methods are known to be biased and unstable, whereas response surface models are less prone to these defects and can be applied to a wide range of data.
Quantitative evaluation of how drugs combine to elicit a biological response is crucial for drug development. Evaluations of drug combinations are often performed using index-based methods, which are known to be biased and unstable. We examine how these methods can produce misleadingly structured patterns of bias, leading to erroneous judgments of synergy or antagonism. By contrast, response surface models are less prone to these defects and can be applied to a wide range of data that have appeared in recent literature, including the measurement of combination therapeutic windows and the analysis of discrete experimental measures, three-way drug combinations, and atypical response behaviors.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据