Extended Multitarget Pharmacology of Anticancer Drugs

系统药理学 药品 药理学 临床药理学 药物重新定位 作用机理 药物发现 癌症 医学 计算生物学 抗癌药 分子药理学 生物信息学 生物 受体 内科学 体外 生物化学
作者
Da Shi,Feroz Khan,Ruben Abagyan
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:59 (6): 3006-3017 被引量:18
标识
DOI:10.1021/acs.jcim.9b00031
摘要

Multitarget pharmacology of small-molecule cancer drugs significantly contributes to their mechanism of action, side effects, and emergence of drug resistance and opens ways to repurpose, combine, or customize drug therapy. In most cases, the set of targets affected at therapeutic concentrations is not fully characterized and/or the interaction efficacy values are not accurately quantified. We collected information about multiple targets for each cancer drug along with their experimental effective concentrations or binding activities from multiple sources. All multitarget activity values for each drug then were used to build two proximity network pharmacology maps of anticancer drugs and targets of those drugs, respectively. Together with the network map, we showed that the majority of the cancer drugs had substantial multitarget pharmacology based on our current knowledge. In addition, most of the cancer drugs simultaneously affect macromolecular targets from different classes and types. The target subset can further be accentuated and personalized by patient sample-specific expression data. The network maps of cancer drugs and targets as well as all quantified activity data were integrated into a freely available database, CancerDrugMap (http://ruben.ucsd.edu/dnet/maps/drugnet.html). The identified multitarget pharmacology of cancer drugs is essential for improving the efficacy of individually prescribed drugs and drug combinations and minimization of adverse effects.

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