Suppr超能文献

小分子的形态分析。

Morphological profiling of small molecules.

机构信息

Max-Planck Institute of Molecular Physiology, Department of Chemical Biology, Otto-Hahn-Strasse 11, 44227 Dortmund, Germany.

Max-Planck Institute of Molecular Physiology, Department of Chemical Biology, Otto-Hahn-Strasse 11, 44227 Dortmund, Germany.

出版信息

Cell Chem Biol. 2021 Mar 18;28(3):300-319. doi: 10.1016/j.chembiol.2021.02.012.

Abstract

Profiling approaches such as gene expression or proteome profiling generate small-molecule bioactivity profiles that describe a perturbed cellular state in a rather unbiased manner and have become indispensable tools in the evaluation of bioactive small molecules. Automated imaging and image analysis can record morphological alterations that are induced by small molecules through the detection of hundreds of morphological features in high-throughput experiments. Thus, morphological profiling has gained growing attention in academia and the pharmaceutical industry as it enables detection of bioactivity in compound collections in a broader biological context in the early stages of compound development and the drug-discovery process. Profiling may be used successfully to predict mode of action or targets of unexplored compounds and to uncover unanticipated activity for already characterized small molecules. Here, we review the reported approaches to morphological profiling and the kind of bioactivity that can be detected so far and, thus, predicted.

摘要

分析方法,如基因表达或蛋白质组学分析,生成小分子生物活性谱,以相当客观的方式描述受干扰的细胞状态,已成为评估生物活性小分子不可或缺的工具。自动化成像和图像分析可以通过在高通量实验中检测数百种形态特征来记录小分子诱导的形态变化。因此,形态分析在学术界和制药行业中越来越受到关注,因为它能够在化合物开发和药物发现过程的早期阶段,在更广泛的生物学背景下检测化合物库中的生物活性。该方法可成功用于预测未知化合物的作用模式或靶点,并发现已鉴定小分子的意外活性。在这里,我们回顾了目前报道的形态分析方法以及迄今为止可以检测到的生物活性,从而可以预测到的生物活性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验