Humbeck Lina, Koch Oliver
Faculty of Chemistry and Chemical Biology, TU Dortmund University , Otto-Hahn-Straße 6, 44227 Dortmund, Germany.
ACS Chem Biol. 2017 Jan 20;12(1):23-35. doi: 10.1021/acschembio.6b00706. Epub 2016 Dec 5.
The ever increasing bioactivity data that are produced nowadays allow exhaustive data mining and knowledge discovery approaches that change chemical biology research. A wealth of chemoinformatics tools, web services, and applications therefore exists that supports a careful evaluation and analysis of experimental data to draw conclusions that can influence the further development of chemical probes and potential lead structures. This review focuses on open-source approaches that can be handled by scientists who are not familiar with computational methods having no expert knowledge in chemoinformatics and modeling. Our aim is to present an easily manageable toolbox for support of every day laboratory work. This includes, among other things, the available bioactivity and related molecule databases as well as tools to handle and analyze in-house data.
如今产生的生物活性数据不断增加,这使得详尽的数据挖掘和知识发现方法得以实现,从而改变了化学生物学研究。因此,存在大量的化学信息学工具、网络服务和应用程序,可支持对实验数据进行仔细评估和分析,以得出能够影响化学探针和潜在先导结构进一步开发的结论。本综述聚焦于开源方法,这些方法可供不熟悉计算方法且在化学信息学和建模方面没有专业知识的科学家使用。我们的目标是提供一个易于管理的工具箱,以支持日常实验室工作。这尤其包括可用的生物活性和相关分子数据库,以及处理和分析内部数据的工具。