Identification of PARN nuclease activity inhibitors by computational-based docking and high-throughput screening

通过基于计算的对接和高通量筛选鉴定 PARN 核酸酶活性抑制剂

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作者:Thao Ngoc Huynh, Siddharth Shukla, Philip Reigan, Roy Parker

Abstract

Poly(A)-specific ribonuclease (PARN) is a 3'-exoribonuclease that removes poly(A) tails from the 3' end of RNAs. PARN is known to deadenylate some ncRNAs, including hTR, Y RNAs, and some miRNAs and thereby enhance their stability by limiting the access of 3' to 5' exonucleases recruited by oligo(A) tails. Several PARN-regulated miRNAs target p53 mRNA, and PARN knockdown leads to an increase of p53 protein levels in human cells. Thus, PARN inhibitors might be used to induce p53 levels in some human tumors and act as a therapeutic strategy to treat cancers caused by repressed p53 protein. Herein, we used computational-based molecular docking and high-throughput screening (HTS) to identify small molecule inhibitors of PARN. Validation with in vitro and cell-based assays, identified 4 compounds, including 3 novel compounds and pyrimidopyrimidin-2-one GNF-7, previously shown to be a Bcr-Abl inhibitor, as PARN inhibitors. These inhibitors can be used as tool compounds and as lead compounds for the development of improved PARN inhibitors.

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