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通过二维组合筛选和计算分析确定苯并咪唑衍生物偏好的 RNA 内部环。

Defining the RNA internal loops preferred by benzimidazole derivatives via 2D combinatorial screening and computational analysis.

机构信息

Department of Chemistry, The University at Buffalo, The State University of New York, Buffalo, New York 14260, USA.

出版信息

J Am Chem Soc. 2011 Jul 6;133(26):10111-8. doi: 10.1021/ja200212b. Epub 2011 Jun 9.

Abstract

RNA is an important therapeutic target; however, RNA targets are generally underexploited due to a lack of understanding of the small molecules that bind RNA and the RNA motifs that bind small molecules. Herein, we describe the identification of the RNA internal loops derived from a 4096 member 3 × 3 nucleotide loop library that are the most specific and highest affinity binders to a series of four designer, druglike benzimidazoles. These studies establish a potentially general protocol to define the highest affinity and most specific RNA motif targets for heterocyclic small molecules. Such information could be used to target functionally important RNAs in genomic sequence.

摘要

RNA 是一个重要的治疗靶标;然而,由于对与 RNA 结合的小分子以及与小分子结合的 RNA 基序缺乏了解,RNA 靶标通常未得到充分利用。在此,我们描述了从一个包含 4096 个成员的 3×3 核苷酸环文库中鉴定出的 RNA 内环,它们是与一系列四个设计的、类似药物的苯并咪唑类化合物结合最特异和亲和力最高的配体。这些研究建立了一个潜在的通用方案,用于定义杂环小分子的最高亲和力和最特异的 RNA 基序靶标。此类信息可用于靶向基因组序列中功能重要的 RNA。

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