Castellano Sabrina, Stefancich Giorgio, Ragno Rino, Schewe Katarzyna, Santoriello Marisabella, Caroli Antonia, Hartmann Rolf W, Sbardella Gianluca
Dipartimento di Scienze Farmaceutiche, Università di Salerno, Via Ponte Don Melillo, I-84084 Fisciano (SA), Italy.
Bioorg Med Chem. 2008 Sep 15;16(18):8349-58. doi: 10.1016/j.bmc.2008.08.046. Epub 2008 Aug 26.
Several derivatives out of a series of antifungal agents exhibited a good inhibitory potency against aromatase as well as a fairly good selectivity toward CYP17, even if lacking H-bond accepting substituents. Their common structural feature is a flexible backbone that did not fit into previously reported CYP19 models. Thus, a ligand-based approach was exploited to develop a novel statistically robust, self-consistent and predictive 3D-QSAR model herein proposed as a helpful tool to design new aromatase inhibitors.
在一系列抗真菌剂中,有几种衍生物对芳香酶表现出良好的抑制效力,并且对CYP17具有相当好的选择性,即使它们缺乏氢键接受取代基。它们共同的结构特征是具有一个柔性主链,该主链不符合先前报道的CYP19模型。因此,本文采用基于配体的方法来开发一种新颖的、统计稳健、自洽且具有预测性的3D-QSAR模型,该模型被提出作为设计新型芳香酶抑制剂的有用工具。