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一些新型6-甲基-3-苯基-4(3H)-喹唑啉酮类似物的合成、抗肿瘤及抗菌活性:计算机模拟研究

Synthesis, antitumor and antimicrobial activity of some new 6-methyl-3-phenyl-4(3H)-quinazolinone analogues: in silico studies.

作者信息

Alanazi Amer M, Abdel-Aziz Alaa A-M, Shawer Taghreed Z, Ayyad Rezk R, Al-Obaid Abdulrahman M, Al-Agamy Mohamed H M, Maarouf Azza R, El-Azab Adel S

机构信息

a Department of Pharmaceutical Chemistry , College of Pharmacy, King Saud University , Riyadh , Saudi Arabia .

b Department of Medicinal Chemistry , Faculty of Pharmacy, University of Mansoura , Mansoura , Egypt .

出版信息

J Enzyme Inhib Med Chem. 2016 Oct;31(5):721-35. doi: 10.3109/14756366.2015.1060482. Epub 2015 Jul 10.

Abstract

Some new derivatives of substituted-4(3H)-quinazolinones were synthesized and evaluated for their in vitro antitumor and antimicrobial activities. The results of this study demonstrated that compound 5 yielded selective activities toward NSC Lung Cancer EKVX cell line, Colon Cancer HCT-15 cell line and Breast Cancer MDA-MB-231/ATCC cell line, while NSC Lung Cancer EKVX cell line and CNS Cancer SF-295 cell line were sensitive to compound 8. Additionally, compounds 12 and 13 showed moderate effectiveness toward numerous cell lines belonging to different tumor subpanels. On the other hand, the results of antimicrobial screening revealed that compounds 1, 9 and 14 are the most active against Staphylococcus aureus ATCC 29213 with minimum inhibitory concentration (MIC) of 16, 32 and 32 μg/mL respectively, while compound 14 possessed antimicrobial activities against all tested strains with the lowest MIC compared with other tested compounds. In silico study, ADME-Tox prediction and molecular docking methodology were used to study the antitumor activity and to identify the structural features required for antitumor activity.

摘要

合成了一些取代-4(3H)-喹唑啉酮的新衍生物,并对其体外抗肿瘤和抗菌活性进行了评估。本研究结果表明,化合物5对NSC肺癌EKVX细胞系、结肠癌HCT-15细胞系和乳腺癌MDA-MB-231/ATCC细胞系具有选择性活性,而NSC肺癌EKVX细胞系和中枢神经系统癌SF-295细胞系对化合物8敏感。此外,化合物12和13对属于不同肿瘤亚组的众多细胞系显示出中等效力。另一方面,抗菌筛选结果表明,化合物1、9和14对金黄色葡萄球菌ATCC 29213的活性最强,最低抑菌浓度(MIC)分别为16、32和32μg/mL,而化合物14对所有测试菌株均具有抗菌活性,与其他测试化合物相比MIC最低。在计算机模拟研究中,使用ADME-Tox预测和分子对接方法来研究抗肿瘤活性并确定抗肿瘤活性所需的结构特征。

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