Department of Computer Science, University of Aberystwyth, Old College, King Street, Aberystwyth SY23 2AX, Department of Biology, Institute of Biochemistry and School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada and Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge CB2 3EG, UK.
Bioinformatics. 2014 Mar 1;30(5):719-25. doi: 10.1093/bioinformatics/btt613. Epub 2013 Oct 24.
Methods for computational drug target identification use information from diverse information sources to predict or prioritize drug targets for known drugs. One set of resources that has been relatively neglected for drug repurposing is animal model phenotype.
We investigate the use of mouse model phenotypes for drug target identification. To achieve this goal, we first integrate mouse model phenotypes and drug effects, and then systematically compare the phenotypic similarity between mouse models and drug effect profiles. We find a high similarity between phenotypes resulting from loss-of-function mutations and drug effects resulting from the inhibition of a protein through a drug action, and demonstrate how this approach can be used to suggest candidate drug targets.
Analysis code and supplementary data files are available on the project Web site at https://drugeffects.googlecode.com.
计算药物靶点识别方法利用来自不同信息源的信息来预测或优先考虑已知药物的药物靶点。在药物再利用方面，有一组资源相对被忽视，那就是动物模型表型。
我们研究了使用小鼠模型表型进行药物靶点识别。为了实现这一目标，我们首先整合了小鼠模型表型和药物效应，然后系统地比较了小鼠模型和药物效应谱之间的表型相似性。我们发现功能丧失突变引起的表型与药物作用抑制蛋白质引起的药物效应之间具有高度相似性，并展示了如何使用这种方法来建议候选药物靶点。
分析代码和补充数据文件可在项目网站 https://drugeffects.googlecode.com 上获得。
