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Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2
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-...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258288/ https://www.ncbi.nlm.nih.gov/pubmed/35794891 http://dx.doi.org/10.1101/2022.06.27.497816 |
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author | 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. |
author_facet | 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. |
author_sort | Gahbauer, Stefan |
collection | PubMed |
description | 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 in silico 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. |
format | Online Article Text |
id | pubmed-9258288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-92582882022-12-15 Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 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. bioRxiv Article 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 in silico 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. Cold Spring Harbor Laboratory 2022-07-28 /pmc/articles/PMC9258288/ /pubmed/35794891 http://dx.doi.org/10.1101/2022.06.27.497816 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article 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. Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 |
title | Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 |
title_full | Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 |
title_fullStr | Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 |
title_full_unstemmed | Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 |
title_short | Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2 |
title_sort | iterative computational design and crystallographic screening identifies potent inhibitors targeting the nsp3 macrodomain of sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258288/ https://www.ncbi.nlm.nih.gov/pubmed/35794891 http://dx.doi.org/10.1101/2022.06.27.497816 |
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