KInhibition: A Kinase Inhibitor Selection Portal

被引:17
作者
Bello, Thomas [1 ,2 ]
Gujral, Taranjit S. [1 ,2 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Human Biol Div, Seattle, WA 98109 USA
[2] Univ Washington, Dept Mol & Cellular Biol, Seattle, WA 98195 USA
关键词
Bioinformatics; Molecular Biology; Software Engineering;
D O I
10.1016/j.isci.2018.09.009
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Protein kinases constitute a large class of signaling molecules frequently targeted in research and dinical uses. However, kinase inhibitors are notoriously non-specific, making it difficult to select an appropriate inhibitor for a given kinase. Available data from large-scale kinase inhibitor screens are often difficult to query. Here, we present Kinhibition (https://kinhibition.fredhutch.org), an online portal that allows users to search publicly available datasets to find selective inhibitors for a chosen kinase or group of kinases. Compounds are sorted by a Kinhibition Selectivity Score, calculated based on compounds' activity against the selected kinase(s) versus activity against all other kinases for which that compound has been profiled. The current version allows users to query four datasets, with a framework that can easily accommodate additional datasets. Klnhibition represents a powerful platform through which researchers from broad areas of biology, chemistry, and pharmacology can easily interrogate large datasets to help guide their selection of kinase inhibitors.
引用
收藏
页码:49 / +
页数:10
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