作为抗结核药物的一些新型 3-苯基吡唑并[1,5-a]嘧啶-2,7(1H,4H)-二酮化合物的设计、合成、生物学评价和分子动力学。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular Structure & Dynamics Pub Date : 2024-10-01 Epub Date: 2023-09-01 DOI:10.1080/07391102.2023.2249109
Monica Chauhan, Chintu Prajapati, Sadaf Mirza, Rahul Barot, Rasana Yadav, Mahesh Barmade, Dhruvi Kakadiya, Ravi Vijayvargia, Bijaya Haobam, Anurag Tk Baidya, Rajnish Kumar, M R Yadav, Prashant Murumkar
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引用次数: 0

摘要

十烯丙基磷酰-β-d-核糖-2'-epimerase(DprE1)是一个可药用的靶点,目前正被用于开发新的抗结核药物。在本研究中,我们建立了一个药理模型,并利用建立的药理模型对 Asinex 数据库进行了虚拟筛选,得到了 8 个潜在的 DprE1 抑制剂。这些新发现被用作设计新的 3-苯基吡唑并[1,5-a]嘧啶-2,7(1H,4H)-二酮类潜在抗结核药物的先导分子。在已确定的先导分子基础上,共合成了 18 个化合物,并利用 MABA 对其抗结核活性进行了评估。对所有化合物的 ADMET 预测表明,这些化合物具有类药物和类先导分子的特性。最后发现的一个化合物对牛分枝杆菌具有很强的抗结核活性。
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Design, synthesis, biological evaluation and molecular dynamics of some novel 3-phenylpyrazolo[1,5-a]pyrimidine-2,7(1H,4H)-dione based compounds as anti-tubercular agents.

Decaprenylphosphoryl-β-d-ribose-2'-epimerase (DprE1) is a druggable target which is being exploited for the development of new anti-TB agents. In the present work, we report developing a pharmacophore model and performing virtual screening of Asinex database using the developed pharmacophore model to get eight hits as potential DprE1 inhibitors. The hits were used as leads to design new 3-phenylpyrazolo[1,5-a]pyrimidine-2,7(1H,4H)-dione based potential anti-TB agents. On the basis of the identified lead molecules, a total of 18 compounds were synthesized and evaluated for their anti-TB activity by using MABA. ADMET predictions for all the compounds revealed that these compounds have drug-like and lead-like properties. One of the final compounds was found to exhibit potent anti-TB activity against Mycobacterium bovis.Communicated by Ramaswamy H. Sarma.

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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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