一种新的基于片段的药效团虚拟筛选工作流程确定了SARS-CoV-2 NSP13解旋酶的有效抑制剂。

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Jordi Doijen, Jiexiong Xie, Simone Marsili, Trpta Bains, Mandeep Kaur Mann, Pravien Abeywickrema, Nick Van den Broeck, Christian Permann, Thierry Langer, Gökhan Ibis, Charles-Alexandre Mattelaer, Jeremy Harvey, Sebastiaan van Raalte, Roberto Fino, Vineet Pande, Danielle Peeters, Aaron Patrick, Ellen Van Damme, Herman van Vlijmen, Marnix Van Loock, Edgar Jacoby
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引用次数: 0

摘要

在此,我们报告了13种新型的SARS-CoV-2 NSP13解旋酶微摩尔有效抑制剂的计算机发现,这些抑制剂在细胞抗病毒和生物物理热荧光实验中得到验证。这些化合物是通过一种名为FragmentScout的基于片段的药效团虚拟筛选工作流程发现的,它促进了新型抗病毒药物的发展。FragmentScout使用了SARS-CoV-2 NSP13解旋酶的公开结构数据,该数据先前在Diamond LightSource通过XChem高通量晶体学片段筛选生成。该工作流为每个结合位点生成一个联合药效团查询,从而聚合每个实验片段姿态中存在的药效团特征信息。然后使用Inte:ligand LigandScout XT软件使用联合药效团查询来搜索3D构象数据库。FragmentScout芯片工作流程提供了一种新的工具,用于在基于碎片的先导物发现中从毫摩尔碎片中识别微摩尔命中。预计该工作流程将增强XChem不断增长的数据集的系统数据挖掘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A New Fragment-Based Pharmacophore Virtual Screening Workflow Identifies Potent Inhibitors of SARS-CoV-2 NSP13 Helicase

A New Fragment-Based Pharmacophore Virtual Screening Workflow Identifies Potent Inhibitors of SARS-CoV-2 NSP13 Helicase

Herein we report the in silico discovery of 13 novel micromolar potent inhibitors of the SARS-CoV-2 NSP13 helicase validated in cellular antiviral and biophysical ThermoFluor assays. The compounds, discovered using a novel fragment-based pharmacophore virtual screening workflow named FragmentScout, enable the advancement of novel antiviral agents. FragmentScout uses publicly accessible structural data of the SARS-CoV-2 NSP13 helicase, which was previously generated at the Diamond LightSource by XChem high-throughput crystallographic fragment screening. The workflow generates a joint pharmacophore query for each binding site, thereby aggregating the pharmacophore feature information present in each experimental fragment pose. The joint pharmacophore query is then used to search 3D conformational databases using the Inte:ligand LigandScout XT software. The FragmentScout in silico workflow offers a novel tool for identifying micromolar hits from millimolar fragments in fragment-based lead discovery. It is anticipated that this workflow will enhance systematic data mining of the growing collection of XChem datasets.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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