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Exploring protein hotspots by optimized fragment pharmacophores

Fragment-based drug design has introduced a bottom-up process for drug development, with improved sampling of chemical space and increased effectiveness in early drug discovery. Here, we combine the use of pharmacophores, the most general concept of representing drug-target interactions with the the...

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Autores principales: Bajusz, Dávid, Wade, Warren S., Satała, Grzegorz, Bojarski, Andrzej J., Ilaš, Janez, Ebner, Jessica, Grebien, Florian, Papp, Henrietta, Jakab, Ferenc, Douangamath, Alice, Fearon, Daren, von Delft, Frank, Schuller, Marion, Ahel, Ivan, Wakefield, Amanda, Vajda, Sándor, Gerencsér, János, Pallai, Péter, Keserű, György M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159961/
https://www.ncbi.nlm.nih.gov/pubmed/34045440
http://dx.doi.org/10.1038/s41467-021-23443-y
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author Bajusz, Dávid
Wade, Warren S.
Satała, Grzegorz
Bojarski, Andrzej J.
Ilaš, Janez
Ebner, Jessica
Grebien, Florian
Papp, Henrietta
Jakab, Ferenc
Douangamath, Alice
Fearon, Daren
von Delft, Frank
Schuller, Marion
Ahel, Ivan
Wakefield, Amanda
Vajda, Sándor
Gerencsér, János
Pallai, Péter
Keserű, György M.
author_facet Bajusz, Dávid
Wade, Warren S.
Satała, Grzegorz
Bojarski, Andrzej J.
Ilaš, Janez
Ebner, Jessica
Grebien, Florian
Papp, Henrietta
Jakab, Ferenc
Douangamath, Alice
Fearon, Daren
von Delft, Frank
Schuller, Marion
Ahel, Ivan
Wakefield, Amanda
Vajda, Sándor
Gerencsér, János
Pallai, Péter
Keserű, György M.
author_sort Bajusz, Dávid
collection PubMed
description Fragment-based drug design has introduced a bottom-up process for drug development, with improved sampling of chemical space and increased effectiveness in early drug discovery. Here, we combine the use of pharmacophores, the most general concept of representing drug-target interactions with the theory of protein hotspots, to develop a design protocol for fragment libraries. The SpotXplorer approach compiles small fragment libraries that maximize the coverage of experimentally confirmed binding pharmacophores at the most preferred hotspots. The efficiency of this approach is demonstrated with a pilot library of 96 fragment-sized compounds (SpotXplorer0) that is validated on popular target classes and emerging drug targets. Biochemical screening against a set of GPCRs and proteases retrieves compounds containing an average of 70% of known pharmacophores for these targets. More importantly, SpotXplorer0 screening identifies confirmed hits against recently established challenging targets such as the histone methyltransferase SETD2, the main protease (3CLPro) and the NSP3 macrodomain of SARS-CoV-2.
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spelling pubmed-81599612021-06-11 Exploring protein hotspots by optimized fragment pharmacophores Bajusz, Dávid Wade, Warren S. Satała, Grzegorz Bojarski, Andrzej J. Ilaš, Janez Ebner, Jessica Grebien, Florian Papp, Henrietta Jakab, Ferenc Douangamath, Alice Fearon, Daren von Delft, Frank Schuller, Marion Ahel, Ivan Wakefield, Amanda Vajda, Sándor Gerencsér, János Pallai, Péter Keserű, György M. Nat Commun Article Fragment-based drug design has introduced a bottom-up process for drug development, with improved sampling of chemical space and increased effectiveness in early drug discovery. Here, we combine the use of pharmacophores, the most general concept of representing drug-target interactions with the theory of protein hotspots, to develop a design protocol for fragment libraries. The SpotXplorer approach compiles small fragment libraries that maximize the coverage of experimentally confirmed binding pharmacophores at the most preferred hotspots. The efficiency of this approach is demonstrated with a pilot library of 96 fragment-sized compounds (SpotXplorer0) that is validated on popular target classes and emerging drug targets. Biochemical screening against a set of GPCRs and proteases retrieves compounds containing an average of 70% of known pharmacophores for these targets. More importantly, SpotXplorer0 screening identifies confirmed hits against recently established challenging targets such as the histone methyltransferase SETD2, the main protease (3CLPro) and the NSP3 macrodomain of SARS-CoV-2. Nature Publishing Group UK 2021-05-27 /pmc/articles/PMC8159961/ /pubmed/34045440 http://dx.doi.org/10.1038/s41467-021-23443-y Text en © The Author(s) 2021 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
Bajusz, Dávid
Wade, Warren S.
Satała, Grzegorz
Bojarski, Andrzej J.
Ilaš, Janez
Ebner, Jessica
Grebien, Florian
Papp, Henrietta
Jakab, Ferenc
Douangamath, Alice
Fearon, Daren
von Delft, Frank
Schuller, Marion
Ahel, Ivan
Wakefield, Amanda
Vajda, Sándor
Gerencsér, János
Pallai, Péter
Keserű, György M.
Exploring protein hotspots by optimized fragment pharmacophores
title Exploring protein hotspots by optimized fragment pharmacophores
title_full Exploring protein hotspots by optimized fragment pharmacophores
title_fullStr Exploring protein hotspots by optimized fragment pharmacophores
title_full_unstemmed Exploring protein hotspots by optimized fragment pharmacophores
title_short Exploring protein hotspots by optimized fragment pharmacophores
title_sort exploring protein hotspots by optimized fragment pharmacophores
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159961/
https://www.ncbi.nlm.nih.gov/pubmed/34045440
http://dx.doi.org/10.1038/s41467-021-23443-y
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