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迭代计算设计和晶体学筛选鉴定出针对新冠病毒Nsp3宏结构域的强效抑制剂。

Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2.

作者信息

Gahbauer Stefan, Correy Galen J, Schuller Marion, Ferla Matteo P, Doruk Yagmur Umay, Rachman Moira, Wu Taiasean, Diolaiti Morgan, Wang Siyi, Neitz R Jeffrey, Fearon Daren, Radchenko Dmytro, Moroz Yurii, Irwin John J, Renslo Adam R, Taylor Jenny C, Gestwicki Jason E, von Delft Frank, Ashworth Alan, Ahel Ivan, Shoichet Brian K, Fraser James S

机构信息

Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158, USA.

Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA.

出版信息

bioRxiv. 2022 Jul 28:2022.06.27.497816. doi: 10.1101/2022.06.27.497816.

Abstract

The nonstructural protein 3 (NSP3) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contains a conserved macrodomain enzyme (Mac1) that is critical for pathogenesis and lethality. While small molecule inhibitors of Mac1 have great therapeutic potential, at the outset of the COVID-19 pandemic there were no well-validated inhibitors for this protein nor, indeed, the macrodomain enzyme family, making this target a pharmacological orphan. Here, we report the structure-based discovery and development of several different chemical scaffolds exhibiting low- to sub-micromolar affinity for Mac1 through iterations of computer-aided design, structural characterization by ultra-high resolution protein crystallography, and binding evaluation. Potent scaffolds were designed with fragment linkage and by ultra-large library docking of over 450 million molecules. Both techniques leverage the computational exploration of tangible chemical space and are applicable to other pharmacological orphans. Overall, 160 ligands in 119 different scaffolds were discovered, and 152 Mac1-ligand complex crystal structures were determined, typically to 1 Å resolution or better. Our analyses discovered selective and cell-permeable molecules, unexpected ligand-mediated protein dynamics within the active site, and key inhibitor motifs that will template future drug development against Mac1.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的非结构蛋白3(NSP3)包含一种保守的宏结构域酶(Mac1),该酶对病毒的致病性和致死性至关重要。虽然Mac1的小分子抑制剂具有巨大的治疗潜力,但在COVID-19大流行初期,针对这种蛋白质以及宏结构域酶家族,并没有经过充分验证的抑制剂,这使得该靶点成为一个药理学上的孤儿靶点。在此,我们报告了通过计算机辅助设计的迭代、超高分辨率蛋白质晶体学的结构表征以及结合评估,基于结构发现并开发了几种对Mac1表现出低至亚微摩尔亲和力的不同化学支架。通过片段连接和对超过4.5亿个分子的超大库对接设计出了强效支架。这两种技术都利用了对实际化学空间的计算探索,并且适用于其他药理学孤儿靶点。总体而言,发现了119种不同支架中的160种配体,并确定了152个Mac1-配体复合物晶体结构,分辨率通常达到或优于1埃。我们的分析发现了具有选择性和细胞渗透性的分子、活性位点内意想不到的配体介导的蛋白质动力学以及将为未来针对Mac1的药物开发提供模板的关键抑制剂基序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0786/9749513/9e72194925d3/nihpp-2022.06.27.497816v2-f0001.jpg

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