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基于图像的酵母药物靶点预测

Image-based prediction of drug target in yeast.

作者信息

Ohnuki Shinsuke, Okada Hiroki, Ohya Yoshikazu

机构信息

Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, Bldg. FSB-101, 5-1-5 Kashiwanoha, Kashiwa, Chiba Prefecture, 277-8562, Japan.

出版信息

Methods Mol Biol. 2015;1263:319-27. doi: 10.1007/978-1-4939-2269-7_24.

Abstract

Discovering the intracellular target of drugs is a fundamental challenge in biomedical research. We developed an image-based technique with which we were able to identify intracellular target of the compounds in the yeast Saccharomyces cerevisiae. Here, we describe the rationale of the technique, staining of yeast cells, image acquisition, data processing, and statistical analysis required for prediction of drug targets.

摘要

发现药物的细胞内靶点是生物医学研究中的一项基本挑战。我们开发了一种基于图像的技术,利用该技术我们能够在酿酒酵母中识别化合物的细胞内靶点。在此,我们描述该技术的原理、酵母细胞染色、图像采集、数据处理以及预测药物靶点所需的统计分析。

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