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Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors

With the ever-increasing number of synthesis-on-demand compounds for drug lead discovery, there is a great need for efficient search technologies. We present the successful application of a virtual screening method that combines two advances: (1) it avoids full library enumeration (2) products are e...

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Autores principales: Beroza, Paul, Crawford, James J., Ganichkin, Oleg, Gendelev, Leo, Harris, Seth F., Klein, Raphael, Miu, Anh, Steinbacher, Stefan, Klingler, Franca-Maria, Lemmen, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616902/
https://www.ncbi.nlm.nih.gov/pubmed/36307407
http://dx.doi.org/10.1038/s41467-022-33981-8
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author Beroza, Paul
Crawford, James J.
Ganichkin, Oleg
Gendelev, Leo
Harris, Seth F.
Klein, Raphael
Miu, Anh
Steinbacher, Stefan
Klingler, Franca-Maria
Lemmen, Christian
author_facet Beroza, Paul
Crawford, James J.
Ganichkin, Oleg
Gendelev, Leo
Harris, Seth F.
Klein, Raphael
Miu, Anh
Steinbacher, Stefan
Klingler, Franca-Maria
Lemmen, Christian
author_sort Beroza, Paul
collection PubMed
description With the ever-increasing number of synthesis-on-demand compounds for drug lead discovery, there is a great need for efficient search technologies. We present the successful application of a virtual screening method that combines two advances: (1) it avoids full library enumeration (2) products are evaluated by molecular docking, leveraging protein structural information. Crucially, these advances enable a structure-based technique that can efficiently explore libraries with billions of molecules and beyond. We apply this method to identify inhibitors of ROCK1 from almost one billion commercially available compounds. Out of 69 purchased compounds, 27 (39%) have K(i) values < 10 µM. X-ray structures of two leads confirm their docked poses. This approach to docking scales roughly with the number of reagents that span a chemical space and is therefore multiple orders of magnitude faster than traditional docking.
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spelling pubmed-96169022022-10-30 Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors Beroza, Paul Crawford, James J. Ganichkin, Oleg Gendelev, Leo Harris, Seth F. Klein, Raphael Miu, Anh Steinbacher, Stefan Klingler, Franca-Maria Lemmen, Christian Nat Commun Article With the ever-increasing number of synthesis-on-demand compounds for drug lead discovery, there is a great need for efficient search technologies. We present the successful application of a virtual screening method that combines two advances: (1) it avoids full library enumeration (2) products are evaluated by molecular docking, leveraging protein structural information. Crucially, these advances enable a structure-based technique that can efficiently explore libraries with billions of molecules and beyond. We apply this method to identify inhibitors of ROCK1 from almost one billion commercially available compounds. Out of 69 purchased compounds, 27 (39%) have K(i) values < 10 µM. X-ray structures of two leads confirm their docked poses. This approach to docking scales roughly with the number of reagents that span a chemical space and is therefore multiple orders of magnitude faster than traditional docking. Nature Publishing Group UK 2022-10-28 /pmc/articles/PMC9616902/ /pubmed/36307407 http://dx.doi.org/10.1038/s41467-022-33981-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Beroza, Paul
Crawford, James J.
Ganichkin, Oleg
Gendelev, Leo
Harris, Seth F.
Klein, Raphael
Miu, Anh
Steinbacher, Stefan
Klingler, Franca-Maria
Lemmen, Christian
Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
title Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
title_full Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
title_fullStr Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
title_full_unstemmed Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
title_short Chemical space docking enables large-scale structure-based virtual screening to discover ROCK1 kinase inhibitors
title_sort chemical space docking enables large-scale structure-based virtual screening to discover rock1 kinase inhibitors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616902/
https://www.ncbi.nlm.nih.gov/pubmed/36307407
http://dx.doi.org/10.1038/s41467-022-33981-8
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