In silico DFT study, molecular docking, and ADMET predictions of cytidine analogs with antimicrobial and anticancer properties.

In Silico Pharmacology Pub Date : 2021-07-06 eCollection Date: 2021-01-01 DOI:10.1007/s40203-021-00102-0
Kazi M Rana, Jannatul Maowa, Asraful Alam, Sujan Dey, Anowar Hosen, Imtiaj Hasan, Yuki Fujii, Yasuhiro Ozeki, Sarkar M A Kawsar
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Abstract

Nucleoside analogs contribute in pharmaceutical and clinical fields as medicinal agents and approved drugs. This work focused to investigate the antimicrobial, anticancer activities, and structure-activity relationship (SAR) of cytidine and its analogs with computational studies. Microdilution was used to determine the antimicrobial activity, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) of the modified analogs against human and phytopathogenic strains. Compounds (7), (10), and (14) were the most potent against Escherichia coli and Salmonella abony strains with MIC and MBC values from 0.316 ± 0.02 to 2.50 ± 0.03 and 0.625 ± 0.04 to 5.01 ± 0.06 mg/ml, respectively. The highest inhibitory activity was observed against gram-positive bacteria. Numerous analogs (10), (13), (14), and (15) exhibited good activity against the tested fungi Aspergillus niger and Aspergillus flavus. Anticancer activity of the cytidine analogs was examined through MTT colorimetric assay against Ehrlich's ascites carcinoma (EAC) tumor cells whereas compound 6 showed the maximum antiproliferative activity with an IC50 value of 1168.97 µg/ml. To rationalize this observation, their quantum mechanical and molecular docking studies have been performed against urate oxidase of A. flavus 1R51 to investigate the binding mode, binding affinity, and non-bonding interactions. It was observed that most of the analogs exhibited better binding properties than the parent drug. In silico ADMET prediction was attained to evaluate the drug-likeness properties that revealed the improved pharmacokinetic profile with lower acute oral toxicity of cytidine analogs. Based on the in vitro and in silico analysis, this exploration can be useful to develop promising cytidine-based antimicrobial drug(s).

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-021-00102-0.

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具有抗菌和抗癌特性的胞苷类似物的硅DFT研究、分子对接和ADMET预测。
核苷类似物作为药物制剂和批准的药物在制药和临床领域做出了贡献。本工作的重点是通过计算研究胞苷及其类似物的抗菌、抗癌活性和构效关系。微稀释用于测定修饰的类似物对人类和植物病原菌株的抗菌活性、最小抑菌浓度(MIC)和最小杀菌浓度(MBC)。化合物(7)、(10)和(14)对大肠杆菌和沙门氏菌最有效,MIC和MBC值为0.316 ± 0.02至2.50 ± 0.03和0.625 ± 0.04至5.01 ± 0.06mg/ml。对革兰氏阳性菌的抑制活性最高。许多类似物(10)、(13)、(14)和(15)对测试的真菌黑曲霉和黄曲霉表现出良好的活性。通过MTT比色法检测胞苷类似物对埃利希腹水癌(EAC)肿瘤细胞的抗癌活性,而化合物6显示出最大的抗增殖活性,IC50值为1168.97µg/ml。为了使这一观察结果合理化,他们对黄曲霉1R51的尿酸氧化酶进行了量子力学和分子对接研究,以研究结合模式、结合亲和力和非结合相互作用。观察到大多数类似物表现出比母体药物更好的结合特性。实现了计算机ADMET预测,以评估药物相似性特性,该特性揭示了胞苷类似物的改善的药代动力学特征和较低的急性口服毒性。基于体外和计算机分析,这一探索有助于开发有前景的胞苷类抗菌药物。补充信息:在线版本包含补充材料,可访问10.1007/s40203-021-00102-0。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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