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通过多重电子药效团模型来确定一种单一分子,使其能够靶向链霉素和巴龙霉素结合位点,从而抑制 30S 核糖体亚基。

Multiple e-Pharmacophore modeling to identify a single molecule that could target both streptomycin and paromomycin binding sites for 30S ribosomal subunit inhibition.

机构信息

a Centre for Nanosciences and Molecular Medicine, Amrita Institute of Medical Sciences and Research Centre , Amrita Vishwa Vidyapeetham , Kochi 682 041 , Kerala , India.

b Interdisciplinary Centre for Nanotoxicity, Department of Chemistry and Biochemistry , Jackson State University , Jackson , MS-39217 , MI , USA.

出版信息

J Biomol Struct Dyn. 2019 Apr;37(6):1582-1596. doi: 10.1080/07391102.2018.1462731. Epub 2018 May 7.

DOI:10.1080/07391102.2018.1462731
PMID:29633917
Abstract

The bacterial ribosome is an established target for anti-bacterial therapy since decades. Several inhibitors have already been developed targeting both defined subunits (50S and 30S) of the ribosome. Aminoglycosides and tetracyclines are two classes of antibiotics that bind to the 30S ribosomal subunit. These inhibitors can target multiple active sites on ribosome that have a complex structure. To screen putative inhibitors against 30S subunit of the ribosome, the crystal structures in complex with various known inhibitors were analyzed using pharmacophore modeling approach. Multiple active sites were considered for building energy-based three-dimensional (3D) pharmacophore models. The generated models were validated using enrichment factor on decoy data-set. Virtual screening was performed using the developed 3D pharmacophore models and molecular interaction towards the 30S ribosomal unit was analyzed using the hits obtained for each pharmacophore model. The hits that were common to both streptomycin and paromomycin binding sites were identified. Further, to predict the activity of these hits a robust 2D-QSAR model with good predictive ability was developed using 16 streptomycin analogs. Hence, the developed models were able to identify novel inhibitors that are capable of binding to multiple active sites present on 30S ribosomal subunit.

摘要

细菌核糖体是几十年来抗菌治疗的既定靶点。已经开发出了几种针对核糖体的特定亚基(50S 和 30S)的抑制剂。氨基糖苷类和四环素类是两种结合 30S 核糖体亚基的抗生素。这些抑制剂可以针对核糖体上具有复杂结构的多个活性部位。为了筛选针对核糖体 30S 亚基的潜在抑制剂,使用基于药效团的三维(3D)药效团模型构建方法分析了与各种已知抑制剂结合的晶体结构。为构建能量基 3D 药效团模型考虑了多个活性部位。使用虚拟筛选对开发的 3D 药效团模型进行筛选,并使用获得的每个药效团模型的命中物分析针对 30S 核糖体单元的分子相互作用。鉴定出与链霉素和巴龙霉素结合位点都结合的命中物。此外,为了预测这些命中物的活性,使用 16 个链霉素类似物开发了一个具有良好预测能力的稳健的 2D-QSAR 模型。因此,所开发的模型能够识别出能够结合 30S 核糖体亚基上多个活性部位的新型抑制剂。

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