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ADVERPred–Web Service for Prediction of Adverse Effects of Drugs
Journal of Chemical Information and Modeling ( IF 5.6 ) Pub Date : 2017-12-22 00:00:00 , DOI: 10.1021/acs.jcim.7b00568
Sergey M. Ivanov 1, 2 , Alexey A. Lagunin 1, 2 , Anastasia V. Rudik 1 , Dmitry A. Filimonov 1 , Vladimir V. Poroikov 1
Affiliation  

Application of structure–activity relationships (SARs) for the prediction of adverse effects of drugs (ADEs) has been reported in many published studies. Training sets for the creation of SAR models are usually based on drug label information which allows for the generation of data sets for many hundreds of drugs. Since many ADEs may not be related to drug consumption, one of the main problems in such studies is the quality of data on drug–ADE pairs obtained from labels. The information on ADEs may be included in three sections of the drug labels: “Boxed warning,” “Warnings and Precautions,” and “Adverse reactions.” The first two sections, especially Boxed warning, usually contain the most frequent and severe ADEs that have either known or probable relationships to drug consumption. Using this information, we have created manually curated data sets for the five most frequent and severe ADEs: myocardial infarction, arrhythmia, cardiac failure, severe hepatotoxicity, and nephrotoxicity, with more than 850 drugs on average for each effect. The corresponding SARs were built with PASS (Prediction of Activity Spectra for Substances) software and had balanced accuracy values of 0.74, 0.7, 0.77, 0.67, and 0.75, respectively. They were implemented in a freely available ADVERPred web service (http://www.way2drug.com/adverpred/), which enables a user to predict five ADEs based on the structural formula of compound. This web service can be applied for estimation of the corresponding ADEs for hits and lead compounds at the early stages of drug discovery.

中文翻译:

ADVERPred –用于预测药物不良反应的Web服务

在许多发表的研究中已经报道了结构活性关系(SARs)在预测药物(ADEs)不良反应中的应用。用于创建SAR模型的训练集通常基于药物标签信息,该信息允许生成数百种药物的数据集。由于许多ADE可能与药物消费无关,因此此类研究的主要问题之一是从标签中获得的ADE对药物的数据质量。有关ADE的信息可能包含在药品标签的三个部分中:“盒装警告”,“警告和注意事项”和“不良反应”。前两个部分,特别是带框警告,通常包含最频繁和最严重的ADE,这些ADE与毒品的消耗具有已知或可能的关系。使用此信息,我们为五个最常见和最严重的ADE创建了手动管理的数据集:心肌梗塞,心律不齐,心力衰竭,严重的肝毒性和肾毒性,每种效果平均超过850种药物。相应的SAR是使用PASS(物质活动谱预测)软件构建的,其平衡精度值分别为0.74、0.7、0.77、0.67和0.75。它们是在免费提供的ADVERPred Web服务(http://www.way2drug.com/adverpred/)中实现的,该服务使用户可以根据化合物的结构式预测五种ADE。该Web服务可用于在药物发现的早期阶段估算命中和先导化合物的相应ADE。严重的肝毒性和肾毒性,每种作用平均需要850多种药物。相应的SAR是使用PASS(物质活动谱预测)软件构建的,其平衡精度值分别为0.74、0.7、0.77、0.67和0.75。它们是在免费提供的ADVERPred Web服务(http://www.way2drug.com/adverpred/)中实现的,该服务使用户可以根据化合物的结构式预测五种ADE。该Web服务可用于在药物发现的早期阶段估算命中和先导化合物的相应ADE。严重的肝毒性和肾毒性,每种作用平均需要850多种药物。相应的SAR是使用PASS(物质活动谱预测)软件构建的,其平衡精度值分别为0.74、0.7、0.77、0.67和0.75。它们是在免费提供的ADVERPred Web服务(http://www.way2drug.com/adverpred/)中实现的,该服务使用户可以根据化合物的结构式预测五种ADE。该Web服务可用于在药物发现的早期阶段估算命中和先导化合物的相应ADE。75。它们是在免费提供的ADVERPred Web服务(http://www.way2drug.com/adverpred/)中实现的,该服务使用户可以根据化合物的结构式预测五种ADE。该Web服务可用于在药物发现的早期阶段估算命中和先导化合物的相应ADE。75。它们是在免费提供的ADVERPred Web服务(http://www.way2drug.com/adverpred/)中实现的,该服务使用户可以根据化合物的结构式预测五种ADE。该Web服务可用于在药物发现的早期阶段估算命中和先导化合物的相应ADE。
更新日期:2017-12-22
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