Department of Biochemistry and Microbiology, Faculty of Science and Agriculture, University of Zululand, KwaDlangezwa 3886, South Africa.
College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences, University of Warsaw, Stefana Banacha 2C, 02-097 Warsaw, Poland.
Int J Mol Sci. 2021 Jul 22;22(15):7811. doi: 10.3390/ijms22157811.
Cytochrome P450 monooxygenase CYP51 (sterol 14α-demethylase) is a well-known target of the azole drug fluconazole for treating cryptococcosis, a life-threatening fungal infection in immune-compromised patients in poor countries. Studies indicate that mutations in CYP51 confer fluconazole resistance on cryptococcal species. Despite the importance of CYP51 in these species, few studies on the structural analysis of CYP51 and its interactions with different azole drugs have been reported. We therefore performed in silico structural analysis of 11 CYP51s from cryptococcal species and other . Interactions of 11 CYP51s with nine ligands (three substrates and six azoles) performed by Rosetta docking using 10,000 combinations for each of the CYP51-ligand complex (11 CYP51s × 9 ligands = 99 complexes) and hierarchical agglomerative clustering were used for selecting the complexes. A web application for visualization of CYP51s' interactions with ligands was developed (http://bioshell.pl/azoledocking/). The study results indicated that CYP51s have a high preference for itraconazole, corroborating the in vitro effectiveness of itraconazole compared to fluconazole. Amino acids interacting with different ligands were found to be conserved across CYP51s, indicating that the procedure employed in this study is accurate and can be automated for studying P450-ligand interactions to cater for the growing number of P450s.
细胞色素 P450 单加氧酶 CYP51(固醇 14α-脱甲基酶)是唑类药物氟康唑治疗隐球菌病(一种在贫穷国家免疫功能低下患者中危及生命的真菌感染)的已知靶点。研究表明,CYP51 的突变使隐球菌物种对氟康唑产生耐药性。尽管 CYP51 在这些物种中很重要,但关于 CYP51 的结构分析及其与不同唑类药物相互作用的研究很少。因此,我们对来自隐球菌物种和其他物种的 11 种 CYP51 进行了计算机模拟结构分析。使用 Rosetta 对接对 11 种 CYP51 与 9 种配体(3 种底物和 6 种唑类药物)进行了相互作用分析,为每个 CYP51-配体复合物(11 种 CYP51s×9 种配体=99 个复合物)进行了 10,000 次组合的对接,并使用层次凝聚聚类选择复合物。开发了一个用于可视化 CYP51 与配体相互作用的网络应用程序(http://bioshell.pl/azoledocking/)。研究结果表明,大多数 CYP51s 对伊曲康唑有很高的偏好,这与伊曲康唑比氟康唑在体外的有效性相符。发现与不同配体相互作用的氨基酸在 CYP51s 中是保守的,这表明本研究中采用的程序是准确的,可以自动化进行 P450-配体相互作用的研究,以满足不断增加的 P450 数量。