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

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内部环结构

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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.

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