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生物测定R:小分子生物活性的交叉靶点分析。

bioassayR: Cross-Target Analysis of Small Molecule Bioactivity.

作者信息

Backman Tyler William H, Girke Thomas

机构信息

Institute for Integrative Genome Biology, University of California, Riverside , Riverside, California 92521, United States.

出版信息

J Chem Inf Model. 2016 Jul 25;56(7):1237-42. doi: 10.1021/acs.jcim.6b00109. Epub 2016 Jul 12.

Abstract

Despite a large and rapidly growing body of small molecule bioactivity screens available in the public domain, systematic leverage of the data to assess target druggability and compound selectivity has been confounded by a lack of suitable cross-target analysis software. We have developed bioassayR, a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data. bioassayR is implemented as an open-source R/Bioconductor package available from https://bioconductor.org/packages/bioassayR/ .

摘要

尽管公共领域有大量且快速增长的小分子生物活性筛选数据,但由于缺乏合适的跨靶点分析软件,利用这些数据系统评估靶点可成药性和化合物选择性一直受到困扰。我们开发了bioassayR,这是一种计算工具,能够同时分析针对多种化合物和生物靶点进行的数千个生物测定实验。其独特功能包括支持对公共和定制生物测定进行大规模跨靶点分析、生成高通量筛选指纹(HTSFPs),以及一个可选的预加载数据库,可访问大部分公开可用的生物活性数据。bioassayR作为一个开源的R/Bioconductor包实现,可从https://bioconductor.org/packages/bioassayR/获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c89a/5330305/3b15607b70ac/ci-2016-00109z_0001.jpg

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