Graduate School of Pharmaceutical Sciences, the University of Tokyo.
Biol Pharm Bull. 2020;43(10):1435-1442. doi: 10.1248/bpb.b20-00301.
Profile data is defined as data which describes the properties of an object. Omics data of a specimen is profile data because its comprehensiveness supports the idea that omics data is numeric information which reflects biological information of the specimen. In general, omics data analysis utilizes an existing body of biological knowledge, while some profile data analysis methods are independent of existing knowledge, which is suitable for uncovering unidentified aspects of a specimen of interest. The effects of a small compound, such as drugs, are multiple, and include unrecognized effects, even by the developers. To uncover such unrecognized effects, it is useful to employ profile data analysis independent of existing knowledge. In this review, we summarize what profile data is, properties of profile data analysis, and current applications of profile data in order to understand and utilize the effects of small compounds, in particular, in a recently developed method to decompose multiple effects of a drug.
简介数据是指描述对象属性的数据。样本的组学数据是简介数据，因为它的全面性支持了这样一种观点，即组学数据是反映样本生物信息的数值信息。一般来说，组学数据分析利用现有的生物知识体系，而一些简介数据分析方法则不依赖于现有知识，这适合于揭示感兴趣样本中未被识别的方面。小分子（如药物）的作用是多方面的，包括开发人员都不认识的作用。为了揭示这些未被认识的作用，采用不依赖于现有知识的简介数据分析方法是有用的。在这篇综述中，我们总结了简介数据是什么、简介数据分析的性质，以及简介数据在当前的应用，以便理解和利用小分子的作用，特别是在最近开发的一种用于分解药物的多种作用的方法中。
