新型取代咪唑衍生物的设计、合成:细胞毒性和分子对接研究

IF 2.218 Q2 Chemistry
Prasad Chennamsetti , Kishan Chevula , Nagesh Patnam , Vishnu Thumma , Vijjulatha Manga
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引用次数: 0

摘要

以二酮、醛和乙酸铵为原料,一锅法合成了一系列新的5-(2-氯苯基)-4-(3,4-二甲氧基)-2-(取代苯基)- 1h -咪唑衍生物3(A -m)。通过IR、1H NMR、13C NMR和质谱分析确定了新化合物的结构。以顺铂为标准对照药,采用MTT法评价其对人宫颈癌HeLa细胞株的体外抗癌活性。化合物3e (R3 = 4-氰苯氧基)、3c (R3 = 2-硝基苯氧基)和3g (R2 = 4-硝基苯氧基);R3 =甲氧基)对HeLa细胞株的IC50值分别为2.7±0.4351 μM、4.824±0.8869 μM和6.877±0.6042 μM,而顺铂的IC50值为7.06±0.36 μM。与共晶配体厄洛替尼相比,晶体表皮生长因子受体进行了分子对接模拟,获得了最好的对接分数和发人深思的结合相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Design, synthesis of novel substituted imidazole derivatives: Cytotoxicity and molecular docking studies

Design, synthesis of novel substituted imidazole derivatives: Cytotoxicity and molecular docking studies

A novel series of 5-(2-chlorophenyl)-4-(3,4-dimethoxyphenyl)-2-(substituted phenyl)-1H-imidazole derivatives 3(a-m) were synthesized by one pot synthesis of diketone, aldehyde and ammonium acetate. The structures of novel compounds were established by interpretation of IR, 1H NMR, 13C NMR and Mass spectral data. Evaluated their invitro anticancer activity against human cervical cancer HeLa cell line by MTT assay using Cisplatin as standard reference drug. Compounds 3e (R3 = 4-cyanophenoxy), 3c (R3 = 2-nitrophenoxy) and 3 g (R2 = 4-nitrophenoxy & R3 = methoxy) exhibited outstanding activity against the HeLa cell line with IC50 value of 2.7 ± 0.4351 μM, 4.824 ± 0.8869 μM and 6.877 ± 0.6042 μM respectively, compared to Cisplatin IC50 value of 7.06 ± 0.36 μM. Molecular docking simulations were performed against the crystal epidermal growth factor receptor ensued the best docking scores and thought-provoking binding interactions compared to co-crystalized ligand Erlotinib.

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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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