Department of Pharmaceutical Chemistry, Government College of Pharmacy, Aurangabad-431 005, Maharastara, India.
Curr Drug Discov Technol. 2020;17(2):213-224. doi: 10.2174/1570163815666180913122542.
The computational studies on 2-phenazinamines with their protein targets have been carried out to design compounds with potential anticancer activity. This strategy of designing compounds possessing selectivity over specific tyrosine kinase has been achieved through G-QSAR and molecular docking studies.
The objective of this research has been to design newer 2-phenazinamine derivatives as Bcr-Abl tyrosine kinase inhibitors by G-QSAR, molecular docking studies followed by wet lab studies along with evaluation of their anticancer potential. Computational chemistry was done by using VLife MDS 4.3 and Autodock 4.2 followed by wet lab experiments for synthesizing 2- phenazinamine derivatives. The chemical structures of ligands in 2D were drawn by employing Chemdraw 2D Ultra 8.0 and were converted into 3D. These were optimised by using semiempirical method called MOPAC. The protein structure was retrieved from RCSC protein data bank as PDB file. The binding interactions of protein and ligands were done by using PYMOL. The molecular properties of the designed compounds were predicted in silico by using Osiris property explorer. Later, we synthesized novel 13 2-phenazinamine derivatives by treating parent compound with various aldehydes in the presence of dicyclohexylcarbodiimide (DCC) and urea to afford 2-(2-chlorophenyl)-3-(phenazin-2-yl) thiazolidin-4-one and another series of derivatives synthesized with different aldehydes in the presence of p-toluylsulphonic acid, diphydropyridine and benzene sulfonyl chloride to afford benzenesulfonyl-N-(2-chlorobenzyl)-phenazin-2-amine. All the derivatives were tested for invitro anticancer activity on K562 human chronic myelogenous leukemia cell line by employing MTT assay method.
The developed G-QSAR models were found to be statistically significant with respect to training (r2=0.8074), cross-validation (q2=0.6521), and external validation (pred_r2=0.5892). The best developed G-QSAR model suggested that the XlogP values of phenazinamine derivatives were found to be highly influential in determining biological activity. The standard drug was found to exhibit binding energy - 6.79 kcal/mol and the derivatives 5b and 6c exhibited binding energy of - 7.46 and - 8.51; respectively.
Compounds 5b, 6c were observed to possess good lipophilicity and were found to exhibit better activity than other compounds in the series, although less than standard doxorubicin. The synthesis of these 2-phenazinamine derivatives (5a-m) is reported to be obtained from 2,4- dinitrodiphenylamine by applying appropriate synthetic route. Compounds 5b and 6c showed better cytotoxic activity against K562 cancer cell line when compared to other compounds of the series, although less than standard doxorubicin.
已经对具有蛋白质靶标的 2-苯并嗪胺进行了计算研究,以设计具有潜在抗癌活性的化合物。通过 G-QSAR 和分子对接研究,实现了设计对特定酪氨酸激酶具有选择性的化合物的策略。
本研究的目的是通过 G-QSAR、分子对接研究以及评估其抗癌潜力,设计新型 2-苯并嗪胺衍生物作为 Bcr-Abl 酪氨酸激酶抑制剂。通过 VLife MDS 4.3 和 Autodock 4.2 进行计算化学,然后通过合成 2-苯并嗪胺衍生物进行湿实验室研究。使用 Chemdraw 2D Ultra 8.0 绘制配体的化学结构 2D,并将其转换为 3D。使用半经验方法 MOPAC 对其进行优化。从 RCSC 蛋白质数据库中检索蛋白质结构作为 PDB 文件。使用 PYMOL 进行蛋白质和配体的结合相互作用。使用 Osiris property explorer 在计算机上预测设计化合物的分子特性。然后,我们通过用二环己基碳二亚胺 (DCC) 和尿素处理母体化合物,用各种醛合成了 13 种新型 2-苯并嗪胺衍生物,得到 2-(2-氯苯基)-3-(苯并嗪-2-基)噻唑烷-4-酮和另一系列衍生物,用对甲苯磺酸、二氢吡啶和苯磺酰氯合成,得到苯磺酰基-N-(2-氯苄基)-苯并嗪-2-胺。所有衍生物均通过 MTT 测定法在 K562 人慢性髓系白血病细胞系上进行体外抗癌活性测试。
所开发的 G-QSAR 模型在训练(r2=0.8074)、交叉验证(q2=0.6521)和外部验证(pred_r2=0.5892)方面均具有统计学意义。最佳开发的 G-QSAR 模型表明,苯并嗪胺衍生物的 XlogP 值被发现对确定生物活性有很大影响。标准药物的结合能为-6.79 kcal/mol,衍生物 5b 和 6c 的结合能分别为-7.46 和-8.51。
虽然低于标准阿霉素,但化合物 5b 和 6c 被观察到具有良好的亲脂性,并且在该系列中的其他化合物中表现出更好的活性。这些 2-苯并嗪胺衍生物(5a-m)的合成是通过应用适当的合成路线从 2,4-二硝基二苯胺获得的。化合物 5b 和 6c 对 K562 癌细胞系的细胞毒性活性优于该系列中的其他化合物,尽管低于标准阿霉素。