高通量生化激酶选择性测定:面板开发和筛选应用。

Q2 Chemistry Journal of Biomolecular Screening Pub Date : 2009-01-01 Epub Date: 2008-12-10 DOI:10.1177/1087057108326663
Amy Card, Chris Caldwell, Hyunsuk Min, Bina Lokchander, Hualin Xi, Simone Sciabola, Ajith V Kamath, Susan L Clugston, William R Tschantz, Leyu Wang, Deborah J Moshinsky
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引用次数: 41

摘要

激酶是药物发现的有吸引力的靶标。目前有8种小分子激酶抑制剂在肿瘤领域上市,还有许多其他药物正在临床试验中。表征这些化合物的选择性特征对于针对适当的患者群体和减少由于脱靶效应而产生的潜在毒性非常重要。作者描述了开发,验证和利用生化激酶测定面板的选择性分析抑制剂。该面板被开发为29个辐射Flashplate测定,然后最初的13个被过渡到非辐射Caliper迁移位移测定格式。从面板中生成的高质量数据是详细的,并对分析格式进行比较。两种分析技术都适用于面板筛选,但迁移率转移分析产生了更高的数据质量。这里产生的选择性数据应该对计算建模有用,并有助于促进,结合序列和结构信息,合理设计具有良好定义的选择性谱的抑制剂。
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High-throughput biochemical kinase selectivity assays: panel development and screening applications.

Kinases represent attractive targets for drug discovery. Eight small-molecule kinase inhibitors are currently marketed in the area of oncology, and numerous others are in clinical trials. Characterization of the selectivity profiles of these compounds is important to target appropriate patient populations and to reduce the potential of toxicity due to off-target effects. The authors describe the development, validation, and utilization of a biochemical kinase assay panel for the selectivity profiling of inhibitors. The panel was developed as 29 radiometric Flashplate assays, and then an initial 13 were transitioned to a nonradiometric Caliper mobility shift assay format. Generation of high-quality data from the panel is detailed along with a comparison of the assay formats. Both assay technologies were found to be suitable for panel screening, but mobility shift assays yielded higher data quality. The selectivity data generated here should be useful in computational modeling and help facilitate, in conjunction with sequence and structural information, the rational design of inhibitors with well-defined selectivity profiles.

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来源期刊
Journal of Biomolecular Screening
Journal of Biomolecular Screening 生物-分析化学
CiteScore
2.41
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: Advancing the Science of Drug Discovery: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success. SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies. SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology.
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