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一种基于结构的策略,用于鉴定靶向细菌核糖体A位点的新分子支架。

A structure-based strategy to identify new molecular scaffolds targeting the bacterial ribosomal A-site.

作者信息

Foloppe Nicolas, Chen I-Jen, Davis Ben, Hold Adam, Morley Dave, Howes Rob

机构信息

Vernalis (R&D) Ltd, Granta Park, Abington, Cambridge CB1 6GB, UK.

出版信息

Bioorg Med Chem. 2004 Mar 1;12(5):935-47. doi: 10.1016/j.bmc.2003.12.023.

DOI:10.1016/j.bmc.2003.12.023
PMID:14980606
Abstract

The need for novel antibiotics is widely recognized. A well validated target of antibiotics is the bacterial ribosome. Recent X-ray structures of the ribosome bound to antibiotics have shed new light on the binding sites of these antibiotics, providing fresh impetus for structure-based strategies aiming at identifying new ribosomal ligands. In that respect, the ribosomal decoding region of the aminoacyl-tRNA acceptor site (A-site) is of particular interest because oligonucleotide model systems of this site are available for crystallography, NMR and compound binding assays. This work presents how these different resources can be combined in a hierarchical screening strategy which has led to the identification of new A-site ligands. The approach exploits an X-ray structure of the A-site against which large and diverse libraries of compounds were computationally docked. The complementarity of the compounds to the A-site was assessed using a scoring function specifically calibrated for RNA targets. Starting from approximately 1 million compounds, the computational selection of candidate ligands allowed us to focus the experimental work on 129 compounds, 34 of which showed affinity for the A-site in a FRET-based binding assay. NMR experiments confirmed binding to the A-site for some compounds. For the most potent compound in the FRET assay, a tentative binding mode is suggested, which is compatible with the NMR data and the limited SAR in this series. Overall, the results validate the screening strategy.

摘要

新型抗生素的需求已得到广泛认可。抗生素的一个经过充分验证的作用靶点是细菌核糖体。最近核糖体与抗生素结合的X射线结构为这些抗生素的结合位点提供了新的线索,为旨在鉴定新的核糖体配体的基于结构的策略提供了新的动力。在这方面,氨酰-tRNA受体位点(A位点)的核糖体解码区域特别受关注,因为该位点的寡核苷酸模型系统可用于晶体学、核磁共振和化合物结合测定。这项工作展示了如何将这些不同的资源整合到一种分级筛选策略中,该策略已导致鉴定出新的A位点配体。该方法利用了A位点的X射线结构,针对该结构对大量不同的化合物库进行了计算对接。使用专门针对RNA靶点校准的评分函数评估化合物与A位点的互补性。从大约100万种化合物开始,通过计算选择候选配体使我们能够将实验工作集中在129种化合物上,其中34种在基于荧光共振能量转移的结合测定中显示出对A位点的亲和力。核磁共振实验证实了一些化合物与A位点的结合。对于荧光共振能量转移测定中最有效的化合物,提出了一种初步的结合模式,该模式与核磁共振数据以及该系列中有限的构效关系相兼容。总体而言,结果验证了筛选策略。

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