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SMARTS.plus – A Toolbox for Chemical Pattern Design

The number of publications concerning Pan‐Assay Interference Compounds and related problematic structural motifs in screening libraries is constantly growing. In consequence, filter collections are merged, extended but also critically discussed. Due to the complexity of the chemical pattern language...

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Autores principales: Ehrt, Christiane, Krause, Bennet, Schmidt, Robert, Ehmki, Emanuel S. R., Rarey, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757167/
https://www.ncbi.nlm.nih.gov/pubmed/32997890
http://dx.doi.org/10.1002/minf.202000216
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author Ehrt, Christiane
Krause, Bennet
Schmidt, Robert
Ehmki, Emanuel S. R.
Rarey, Matthias
author_facet Ehrt, Christiane
Krause, Bennet
Schmidt, Robert
Ehmki, Emanuel S. R.
Rarey, Matthias
author_sort Ehrt, Christiane
collection PubMed
description The number of publications concerning Pan‐Assay Interference Compounds and related problematic structural motifs in screening libraries is constantly growing. In consequence, filter collections are merged, extended but also critically discussed. Due to the complexity of the chemical pattern language SMARTS, an easy‐to‐use toolbox enabling every chemist to understand, design and modify chemical patterns is urgently needed. Over the past decade, we developed a series of software tools for visualizing, editing, creating, and analysing chemical patterns. Herein, we highlight how most of these tools can now be easily used as part of the novel SMARTS.plus web server (https://smarts.plus/). As a showcase, we demonstrate how researchers can apply the web server tools within minutes to derive novel SMARTS patterns for the filtering of frequent hitters from their screening libraries with only a little experience with the SMARTS language.
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spelling pubmed-77571672020-12-28 SMARTS.plus – A Toolbox for Chemical Pattern Design Ehrt, Christiane Krause, Bennet Schmidt, Robert Ehmki, Emanuel S. R. Rarey, Matthias Mol Inform Application Notes The number of publications concerning Pan‐Assay Interference Compounds and related problematic structural motifs in screening libraries is constantly growing. In consequence, filter collections are merged, extended but also critically discussed. Due to the complexity of the chemical pattern language SMARTS, an easy‐to‐use toolbox enabling every chemist to understand, design and modify chemical patterns is urgently needed. Over the past decade, we developed a series of software tools for visualizing, editing, creating, and analysing chemical patterns. Herein, we highlight how most of these tools can now be easily used as part of the novel SMARTS.plus web server (https://smarts.plus/). As a showcase, we demonstrate how researchers can apply the web server tools within minutes to derive novel SMARTS patterns for the filtering of frequent hitters from their screening libraries with only a little experience with the SMARTS language. John Wiley and Sons Inc. 2020-10-08 2020-12 /pmc/articles/PMC7757167/ /pubmed/32997890 http://dx.doi.org/10.1002/minf.202000216 Text en © 2020 The Authors. Published by Wiley-VCH GmbH This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Application Notes
Ehrt, Christiane
Krause, Bennet
Schmidt, Robert
Ehmki, Emanuel S. R.
Rarey, Matthias
SMARTS.plus – A Toolbox for Chemical Pattern Design
title SMARTS.plus – A Toolbox for Chemical Pattern Design
title_full SMARTS.plus – A Toolbox for Chemical Pattern Design
title_fullStr SMARTS.plus – A Toolbox for Chemical Pattern Design
title_full_unstemmed SMARTS.plus – A Toolbox for Chemical Pattern Design
title_short SMARTS.plus – A Toolbox for Chemical Pattern Design
title_sort smarts.plus – a toolbox for chemical pattern design
topic Application Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757167/
https://www.ncbi.nlm.nih.gov/pubmed/32997890
http://dx.doi.org/10.1002/minf.202000216
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