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鉴定和评估靶向 SARS-CoV-2 病毒 mRNA 帽鸟嘌呤 N7-甲基转移酶的潜在抗病毒药物。

Identification and evaluation of potential SARS-CoV-2 antiviral agents targeting mRNA cap guanine N7-Methyltransferase.

机构信息

Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097, Warsaw, Poland; College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences, University of Warsaw, Banacha 2c, 02-097, Warsaw, Poland.

Division of Biophysics, Faculty of Physics, University of Warsaw, Pasteura 5, 02-093, Warsaw, Poland; Explorna Therapeutics sp. z o.o, Zwirki i Wigury 101/0.30, 02-089, Warsaw, Poland.

出版信息

Antiviral Res. 2021 Sep;193:105142. doi: 10.1016/j.antiviral.2021.105142. Epub 2021 Jul 23.

Abstract

SARS-CoV-2, the cause of the currently ongoing COVID-19 pandemic, encodes its own mRNA capping machinery. Insights into this capping system may provide new ideas for therapeutic interventions and drug discovery. In this work, we employ a previously developed Py-FLINT screening approach to study the inhibitory effects of compounds against the cap guanine N7-methyltransferase enzyme, which is involved in SARS-CoV-2 mRNA capping. We screened five commercially available libraries (7039 compounds in total) to identify 83 inhibitors with IC < 50 μM, which were further validated using RP HPLC and dot blot assays. Novel fluorescence anisotropy binding assays were developed to examine the targeted binding site. The inhibitor structures were analyzed for structure-activity relationships in order to define common structural patterns. Finally, the most potent inhibitors were tested for antiviral activity on SARS-CoV-2 in a cell based assay.

摘要

导致当前 COVID-19 大流行的 SARS-CoV-2 编码了自身的 mRNA 加帽机制。对该加帽系统的深入了解可能为治疗干预和药物发现提供新的思路。在这项工作中,我们采用了先前开发的 Py-FLINT 筛选方法,研究了化合物对参与 SARS-CoV-2 mRNA 加帽的帽鸟嘌呤 N7-甲基转移酶的抑制作用。我们筛选了五个市售文库(共 7039 种化合物),以鉴定出 83 种 IC < 50 μM 的抑制剂,并用 RP HPLC 和斑点印迹分析进行了进一步验证。开发了新的荧光各向异性结合测定法来检查靶结合位点。为了确定常见的结构模式,对抑制剂结构进行了构效关系分析。最后,在基于细胞的测定中测试了最有效的抑制剂对 SARS-CoV-2 的抗病毒活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a45f/8299157/a387f10e902f/gr1_lrg.jpg

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