设计和合成新的苯并咪唑-杂合物作为抗微生物剂:通过硅和体外研究探索作为DNA回转酶抑制剂的机理。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Anand Maurya, Upendra Kumar Patel, Punit Tiwari, Gaurav Joshi, Roshan Kumar, Ragini Tilak, Alka Agarwal
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引用次数: 0

摘要

设计、合成了1,2,3-三唑和氨基嘧啶类苯并咪唑杂合物两个系列抗菌剂,并用红外光谱、核磁共振、质谱和x射线晶体学对其进行了表征。生物学研究表明,化合物5a、5b、5c、5d、5e、5f、5g、5h、8d、8e、9d、9e、9f、9h、9j和9k与标准药物环丙沙星相比,对革兰氏阳性和革兰氏阴性菌株均表现出显著的体外抑菌活性。血液毒性研究显示,所有化合物的毒性可忽略不计。此外,通过DNA gyrase分子对接研究预测的机制揭示(Glide Scores),化合物5c和5f在DNA gyrase活性区域内具有更好的亲和力,并通过分子动力学和直接基于DNA gyrase的抑制实验进一步证实了这一点。化合物5f是最有效的,而与标准药物相比,化合物5c表现出同等的抑制作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and synthesis of new benzimidazole-hybrids as anti-microbial agents: exploring the mechanistic insights as DNA gyrase inhibitors via in silico and in vitro based studies.

Two series of antibacterial agents, 1,2,3-triazole and aminopyrimidine benzimidazole hybrids, were designed, synthesized, and characterized by IR, NMR, Mass spectroscopy, and X-ray crystallography studies. The biological studies revealed that compounds 5a, 5b, 5c, 5d, 5e, 5f, 5g, 5h, 8d, 8e, 9d, 9e, 9f, 9h, 9j, and 9k exhibited significant antibacterial activity in vitro compared to the standard drug ciprofloxacin, against Gram-positive and Gram-negative bacterial strains. The study of hemotoxicity displayed a negligible toxicity profile for all the compounds. Furthermore, the mechanistic insights predicted via molecular docking studies on DNA gyrase revealed (Glide Scores) that compounds 5c and 5f possess better affinity within the active domain of DNA gyrase, which was further corroborated using molecular dynamics followed by direct DNA gyrase-based inhibition assays. Compound 5f was the most potent, while 5c showed an equipotent inhibition compared to a standard drug.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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