{"title":"Drug Combinations: Tests and Analysis with Isoboles","authors":"Ronald J. Tallarida","doi":"10.1002/0471141755.ph0919s72","DOIUrl":null,"url":null,"abstract":"<p>Described in this unit are experimental and computational methods to detect and classify drug interactions. In most cases, this relates to two drugs or compounds with overtly similar effects, e.g., two analgesics or two anti-hypertensives. From the dose-response data of the individual drugs, it is possible to generate a curve, the isobole, which defines all dose combinations that are expected to yield a specified effect. The theory underlying the isobole involves the calculation of doses of drug A that are effectively equivalent to doses of drug B with that equivalence determining whether the isobole is linear or nonlinear. In either case, the isobole allows for a comparison with actual combination effects making it possible to determine whether the interaction is synergistic, additive, or sub-additive. Actual as well as illustrative data are employed to demonstrate experimental design and data analysis. © 2016 by John Wiley & Sons, Inc.</p>","PeriodicalId":10871,"journal":{"name":"Current Protocols in Pharmacology","volume":"72 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/0471141755.ph0919s72","citationCount":"80","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/0471141755.ph0919s72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 80
Abstract
Described in this unit are experimental and computational methods to detect and classify drug interactions. In most cases, this relates to two drugs or compounds with overtly similar effects, e.g., two analgesics or two anti-hypertensives. From the dose-response data of the individual drugs, it is possible to generate a curve, the isobole, which defines all dose combinations that are expected to yield a specified effect. The theory underlying the isobole involves the calculation of doses of drug A that are effectively equivalent to doses of drug B with that equivalence determining whether the isobole is linear or nonlinear. In either case, the isobole allows for a comparison with actual combination effects making it possible to determine whether the interaction is synergistic, additive, or sub-additive. Actual as well as illustrative data are employed to demonstrate experimental design and data analysis. © 2016 by John Wiley & Sons, Inc.
药物组合:用异效孔进行试验和分析
本单元描述了检测和分类药物相互作用的实验和计算方法。在大多数情况下,这涉及两种效果明显相似的药物或化合物,例如,两种镇痛药或两种抗高血压药。从单个药物的剂量-反应数据中,有可能产生一条曲线,即等值线,它定义了预期产生特定效果的所有剂量组合。等锥体的理论基础是计算药物A的剂量与药物B的剂量等效,这种等效决定了等锥体是线性的还是非线性的。在任何一种情况下,都允许与实际组合效应进行比较,从而有可能确定相互作用是协同的、加性的还是亚加性的。采用实际数据和说明性数据来演示实验设计和数据分析。©2016 by John Wiley &儿子,Inc。
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