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ToxDBScan:用于药物候选物的毒理学数据库大规模相似性筛选

ToxDBScan: Large-scale similarity screening of toxicological databases for drug candidates.

作者信息

Römer Michael, Backert Linus, Eichner Johannes, Zell Andreas

机构信息

Center of Bioinformatics Tuebingen (ZBIT), University of Tuebingen, Tübingen 72074, Germany.

出版信息

Int J Mol Sci. 2014 Oct 21;15(10):19037-55. doi: 10.3390/ijms151019037.

Abstract

We present a new tool for hepatocarcinogenicity evaluation of drug candidates in rodents. ToxDBScan is a web tool offering quick and easy similarity screening of new drug candidates against two large-scale public databases, which contain expression profiles for substances with known carcinogenic profiles: TG-GATEs and DrugMatrix. ToxDBScan uses a set similarity score that computes the putative similarity based on similar expression of genes to identify chemicals with similar genotoxic and hepatocarcinogenic potential. We propose using a discretized representation of expression profiles, which use only information on up- or down-regulation of genes as relevant features. Therefore, only the deregulated genes are required as input. ToxDBScan provides an extensive report on similar compounds, which includes additional information on compounds, differential genes and pathway enrichments. We evaluated ToxDBScan with expression data from 15 chemicals with known hepatocarcinogenic potential and observed a sensitivity of 88 Based on the identified chemicals, we achieved perfect classification of the independent test set. ToxDBScan is publicly available from the ZBIT Bioinformatics Toolbox.

摘要

我们提出了一种用于评估啮齿动物中候选药物肝致癌性的新工具。ToxDBScan是一个网络工具,可针对两个大规模公共数据库对新的候选药物进行快速简便的相似性筛选,这两个数据库包含具有已知致癌谱的物质的表达谱:TG-GATEs和DrugMatrix。ToxDBScan使用一种集合相似性分数,该分数基于基因的相似表达来计算推定的相似性,以识别具有相似基因毒性和肝致癌潜力的化学物质。我们建议使用表达谱的离散化表示,其仅将基因上调或下调的信息用作相关特征。因此,仅需将失调的基因作为输入。ToxDBScan提供了关于相似化合物的详尽报告,其中包括有关化合物、差异基因和通路富集的额外信息。我们用来自15种具有已知肝致癌潜力化学物质的表达数据评估了ToxDBScan,观察到其敏感性为88%。基于所识别的化学物质,我们对独立测试集实现了完美分类。ToxDBScan可从ZBIT生物信息学工具箱公开获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55ce/4227259/2a1423bf7163/ijms-15-19037-g001.jpg

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