Tafi A, Anastassopoulou J, Theophanides T, Botta M, Corelli F, Massa S, Artico M, Costi R, Di Santo R, Ragno R
Chemical Engineering Department, National Technical University of Athens, Greece.
J Med Chem. 1996 Mar 15;39(6):1227-35. doi: 10.1021/jm950385+.
A series of 56 azole antifungal agents belonging to chemically diverse families related to bifonazole, one of the antimycotic drugs of clinical use, were investigated using the comparative molecular field analysis (CoMFA) paradigm. The studied compounds, which have been already synthesized and reported to be active in vitro against Candida albicans, were divided into a training set and a test set. The training set consisted of 40 molecules from all the different structural classes. Due to the lack of experimental structural data on these derivatives, molecular mechanics techniques were used to obtain putative active conformations for all the compounds. the correctness of this molecular modeling work was confirmed a posteriori by comparison with structural data of the analog 2w obtained by X-ray crystallographic analysis (Massa, S.; et al. Eur. J. Med. Chem. 1992, 27, 495-502). Two different alignment rules of the training set molecules were used in this study and are based on the assumption that according to published results on azole antifungal agents, all the studied compounds exert their inhibitory activity through the coordination of their azole moiety to the protoporphyrin iron atom of the fungal lanosterol 14alpha-demethylase enzyme. The predictive ability of each resultant CoMFA model was evaluated using a test set consisting of 16 representative compounds that belong to all the different structural classes. The best 3D-quantitative structure-activity relationship model found yields significant cross-validated, conventional, and predictive r2 values equal to 0.57, 0.95, and 0.69, respectively. The average absolute error of predictions of this model is 0.30 log units, and the structural moieties of the studied antifungal agents which are thought to contribute to the biological activity were identified. The predictive capability of this model could be exploited in further synthetic studies on antifungal azoles. Furthermore, the results obtained by using two different alignments of the inhibitors suggest that the binding mode of these molecules involves both a coordination to the iron protoporphyrin atom and an additional, likewise relevant, hydrophobic interaction with the active site.
使用比较分子场分析(CoMFA)范式研究了一系列56种唑类抗真菌剂,这些抗真菌剂属于与联苯苄唑相关的化学结构各异的家族,联苯苄唑是一种临床使用的抗真菌药物。所研究的化合物已经合成,并据报道在体外对白色念珠菌有活性,被分为训练集和测试集。训练集由来自所有不同结构类别的40个分子组成。由于缺乏这些衍生物的实验结构数据,因此使用分子力学技术获得所有化合物的假定活性构象。通过与通过X射线晶体学分析获得的类似物2w的结构数据进行比较(Massa,S.等人,《欧洲医药化学杂志》,1992年,27卷,495 - 502页),事后证实了这项分子建模工作的正确性。本研究中使用了训练集分子的两种不同对齐规则,其基于这样的假设:根据已发表的关于唑类抗真菌剂的结果,所有研究的化合物通过其唑部分与真菌羊毛甾醇14α - 脱甲基酶的原卟啉铁原子配位来发挥其抑制活性。使用由属于所有不同结构类别的16种代表性化合物组成的测试集评估每个所得CoMFA模型的预测能力。发现的最佳3D定量构效关系模型产生的显著交叉验证、常规和预测r2值分别等于0.57、0.95和0.69。该模型预测的平均绝对误差为0.30对数单位,并确定了被认为对生物活性有贡献的所研究抗真菌剂的结构部分。该模型的预测能力可用于抗真菌唑类的进一步合成研究。此外,通过使用抑制剂的两种不同对齐方式获得的结果表明,这些分子的结合模式既涉及与铁原卟啉原子的配位,也涉及与活性位点的另一种同样重要的疏水相互作用。