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基于序列的靶向致癌性非编码 RNA 的小分子的理性设计。

Rational Design of Small Molecules Targeting Oncogenic Noncoding RNAs from Sequence.

机构信息

Departments of Chemistry and Neuroscience, The Scripps Research Institute , 130 Scripps Way, #3A1, Jupiter, Florida 33458, United States.

出版信息

Acc Chem Res. 2016 Dec 20;49(12):2698-2704. doi: 10.1021/acs.accounts.6b00326. Epub 2016 Nov 22.

Abstract

The discovery of RNA catalysis in the 1980s and the dissemination of the human genome sequence at the start of this century inspired investigations of the regulatory roles of noncoding RNAs in biology. In fact, the Encyclopedia of DNA Elements (ENCODE) project has shown that only 1-2% of the human genome encodes protein, yet 75% is transcribed into RNA. Functional studies both preceding and following the ENCODE project have shown that these noncoding RNAs have important roles in regulating gene expression, developmental timing, and other critical functions. RNA's diverse roles are often a consequence of the various folds that it adopts. The single-stranded nature of the biopolymer enables it to adopt intramolecular folds with noncanonical pairings to lower its free energy. These folds can be scaffolds to bind proteins or to form frameworks to interact with other RNAs. Not surprisingly, dysregulation of certain noncoding RNAs has been shown to be causative of disease. Given this as the background, it is easy to see why it would be useful to develop methods that target RNA and manipulate its biology in rational and predictable ways. The antisense approach has afforded strategies to target RNAs via Watson-Crick base pairing and has typically focused on targeting partially unstructured regions of RNA. Small molecule strategies to target RNA would be desirable not only because compounds could be lead optimized via medicinal chemistry but also because structured regions within an RNA of interest could be targeted to directly interfere with RNA folds that contribute to disease. Additionally, small molecules have historically been the most successful drug candidates. Until recently, the ability to design small molecules that target non-ribosomal RNAs has been elusive, creating the perception that they are "undruggable". In this Account, approaches to demystify targeting RNA with small molecules are described. Rather than bulk screening for compounds that bind to singular targets, which is the purview of the pharmaceutical industry and academic institutions with high throughput screening facilities, we focus on methods that allow for the rational design of small molecules toward biological RNAs. One enabling and foundational technology that has been developed is two-dimensional combinatorial screening (2DCS), a library-versus-library selection approach that allows the identification of the RNA motif binding preferences of small molecules from millions of combinations. A landscape map of the 2DCS-defined and annotated RNA motif-small molecule interactions is then placed into Inforna, a computational tool that allows one to mine these interactions against an RNA of interest or an entire transcriptome. Indeed, this approach has been enabled by tools to annotate RNA structure from sequence, an invaluable asset to the RNA community and this work, and has allowed for the rational identification of "druggable" RNAs in a target agnostic fashion.

摘要

RNA 催化作用的发现始于 20 世纪 80 年代,人类基因组序列的传播始于本世纪初,这激发了人们对非编码 RNA 在生物学中调控作用的研究。事实上,DNA 元件百科全书(ENCODE)项目已经表明,人类基因组中只有 1-2%的编码蛋白,而 75%的基因转录为 RNA。在 ENCODE 项目之前和之后的功能研究都表明,这些非编码 RNA 在调节基因表达、发育时间和其他关键功能方面发挥着重要作用。RNA 的多种作用往往是其采用的各种折叠的结果。该生物聚合物的单链性质使其能够采用具有非规范配对的分子内折叠来降低其自由能。这些折叠可以作为结合蛋白的支架,或者形成与其他 RNA 相互作用的框架。毫不奇怪,某些非编码 RNA 的失调已被证明是疾病的病因。有鉴于此,很容易理解为什么开发靶向 RNA 并以合理和可预测的方式操纵其生物学的方法是有用的。反义方法提供了通过 Watson-Crick 碱基配对靶向 RNA 的策略,并且通常集中于靶向 RNA 的部分无结构区域。靶向 RNA 的小分子策略不仅因为可以通过药物化学优化化合物,而且因为可以靶向感兴趣的 RNA 中的结构区域,直接干扰导致疾病的 RNA 折叠,所以是可取的。此外,小分子在历史上一直是最成功的候选药物。直到最近,设计靶向非核糖体 RNA 的小分子的能力一直难以捉摸,这让人认为它们是“不可成药的”。在本报告中,描述了用小分子靶向 RNA 的方法。我们不是盲目筛选与单一靶标结合的化合物,而是关注允许针对生物 RNA 进行合理设计小分子的方法,这是制药行业和具有高通量筛选设施的学术机构的专长。一种已经开发的使能和基础技术是二维组合筛选(2DCS),这是一种文库对文库的选择方法,允许从数百万种组合中鉴定小分子与 RNA 基序的结合偏好。然后将 2DCS 定义和注释的 RNA 基序-小分子相互作用的图谱放入 Inforna 中,这是一个计算工具,可以让人们针对感兴趣的 RNA 或整个转录组挖掘这些相互作用。事实上,这种方法得益于从序列注释 RNA 结构的工具,这是 RNA 领域和这项工作的宝贵资产,并允许以无目标的方式对“可成药”的 RNA 进行合理识别。

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