Stumpfe Dagmar, Dimova Dilyana, Bajorath Jürgen
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany.
Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany.
Bioorg Med Chem. 2015 Jul 1;23(13):3183-91. doi: 10.1016/j.bmc.2015.04.067. Epub 2015 May 1.
Scaffold hopping and activity cliff formation define opposite ends of the activity landscape feature spectrum. To rationalize these events at the level of scaffolds, active compounds involved in scaffold hopping were required to contain topologically distinct scaffolds but have only limited differences in potency, whereas compounds involved in activity cliffs were required to share the same scaffold but have large differences in potency. A systematic search was carried out for compounds involved in scaffold hopping and/or activity cliff formation. Results obtained for compound data sets covering more than 300 human targets revealed clear trends. If scaffolds represented multiple but fewer than 10 active compounds, nearly 90% of all scaffolds were exclusively involved in hopping events. With increasing compound coverage, the fraction of scaffolds involved in both scaffold hopping and activity cliff formation significantly increased to more than 50%. However, ∼40% of the scaffolds representing large numbers of active compounds continued to be exclusively involved in scaffold hopping. More than 200 scaffolds with broad target coverage were identified that consistently represented potent compounds and yielded an abundance of scaffold hops in the low-nanomolar range. These and other subsets of scaffolds we characterized are of prime interest for structure-activity relationship (SAR) exploration and compound design. Therefore, the complete scaffold classification generated in the course of our analysis is made freely available.
骨架跳跃和活性悬崖形成定义了活性景观特征谱的相反两端。为了在骨架层面上对这些事件进行合理化解释,参与骨架跳跃的活性化合物需要包含拓扑结构不同的骨架,但在效力上只有有限的差异,而参与活性悬崖的化合物则需要共享相同的骨架,但在效力上有很大差异。我们对参与骨架跳跃和/或活性悬崖形成的化合物进行了系统搜索。对涵盖300多个人类靶点的化合物数据集所获得的结果揭示了明显的趋势。如果骨架代表多个但少于10个活性化合物,那么几乎所有骨架中有近90%专门参与跳跃事件。随着化合物覆盖范围的增加,同时参与骨架跳跃和活性悬崖形成的骨架比例显著增加到50%以上。然而,代表大量活性化合物的约40%的骨架继续专门参与骨架跳跃。我们鉴定出了200多个具有广泛靶点覆盖范围的骨架,这些骨架始终代表着强效化合物,并在低纳摩尔范围内产生大量的骨架跳跃。我们所表征的这些以及其他骨架子集对于构效关系(SAR)探索和化合物设计至关重要。因此,我们在分析过程中生成的完整骨架分类是免费提供的。