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针对难成药 RNA 甲基转移酶 DNMT2 和 NSUN6 的化学空间虚拟筛选。

Chemical Space Virtual Screening against Hard-to-Drug RNA Methyltransferases DNMT2 and NSUN6.

机构信息

Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg-University, Staudingerweg 5, 55128 Mainz, Germany.

出版信息

Int J Mol Sci. 2023 Mar 24;24(7):6109. doi: 10.3390/ijms24076109.

Abstract

Targeting RNA methyltransferases with small molecules as inhibitors or tool compounds is an emerging field of interest in epitranscriptomics and medicinal chemistry. For two challenging RNA methyltransferases that introduce the 5-methylcytosine (mC) modification in different tRNAs, namely DNMT2 and NSUN6, an ultra-large commercially available chemical space was virtually screened by physicochemical property filtering, molecular docking, and clustering to identify new ligands for those enzymes. Novel chemotypes binding to DNMT2 and NSUN6 with affinities down to K = 37 µM and K = 12 µM, respectively, were identified using a microscale thermophoresis (MST) binding assay. These compounds represent the first molecules with a distinct structure from the cofactor SAM and have the potential to be developed into activity-based probes for these enzymes. Additionally, the challenges and strategies of chemical space docking screens with special emphasis on library focusing and diversification are discussed.

摘要

靶向 RNA 甲基转移酶的小分子抑制剂或工具化合物是表观转录组学和药物化学领域新兴的研究热点。对于两种具有挑战性的 RNA 甲基转移酶,它们在不同的 tRNA 中引入 5-甲基胞嘧啶(mC)修饰,即 DNMT2 和 NSUN6,通过物理化学性质过滤、分子对接和聚类,对超大规模的商业化学空间进行了虚拟筛选,以鉴定这些酶的新配体。使用微量热泳动(MST)结合测定法,鉴定了与 DNMT2 和 NSUN6 结合的新型化学型,亲和力分别低至 K = 37 µM 和 K = 12 µM。这些化合物代表了与辅因子 SAM 具有独特结构的第一批分子,并且有可能被开发为这些酶的基于活性的探针。此外,还讨论了化学空间对接筛选的挑战和策略,特别强调了文库聚焦和多样化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d99/10094593/0ea72cd2d74d/ijms-24-06109-g001.jpg

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