Hu Huabin, Bajorath Jürgen
Department of Life Science Informatics, B-IT , LIMES Program Unit Chemical Biology and Medicinal Chemistry , Rheinische Friedrich-Wilhelms-Universität , Endenicher Allee 19c , D-53115 Bonn , Germany . Email:
RSC Med Chem. 2020 Jan 7;11(1):132-141. doi: 10.1039/c9md00463g. eCollection 2020 Jan 1.
Activity cliffs (ACs) are pairs of structurally similar or analogous active compounds with large differences in potency against the same target. For identifying and analyzing ACs, similarity and potency difference criteria must be determined and consistently applied. This can be done in various ways, leading to different types of ACs. In this work, we introduce a new category of ACs by combining different similarity criteria, including the formation of matched molecular pairs and structural isomer relationships. A systematic computational search identified such ACs in compounds with activity against a variety of targets. In addition to other ACs exclusively formed by structural isomers, the newly introduced category of ACs is rich in structure-activity relationship (SAR) information, straightforward to interpret from a chemical perspective, and further extends the current spectrum of ACs.
活性悬崖(ACs)是指对同一靶点具有显著活性差异的一对结构相似或类似的活性化合物。为了识别和分析ACs,必须确定并始终如一地应用相似性和活性差异标准。这可以通过多种方式完成,从而产生不同类型的ACs。在这项工作中,我们通过结合不同的相似性标准,包括匹配分子对的形成和结构异构体关系,引入了一类新的ACs。系统的计算搜索在对多种靶点具有活性的化合物中识别出了此类ACs。除了仅由结构异构体形成的其他ACs外,新引入的ACs类别富含构效关系(SAR)信息,从化学角度易于解释,并且进一步扩展了当前ACs的范围。