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SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules

SwissTargetPrediction is a web tool, on-line since 2014, that aims to predict the most probable protein targets of small molecules. Predictions are based on the similarity principle, through reverse screening. Here, we describe the 2019 version, which represents a major update in terms of underlying...

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Detalles Bibliográficos
Autores principales: Daina, Antoine, Michielin, Olivier, Zoete, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602486/
https://www.ncbi.nlm.nih.gov/pubmed/31106366
http://dx.doi.org/10.1093/nar/gkz382
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author Daina, Antoine
Michielin, Olivier
Zoete, Vincent
author_facet Daina, Antoine
Michielin, Olivier
Zoete, Vincent
author_sort Daina, Antoine
collection PubMed
description SwissTargetPrediction is a web tool, on-line since 2014, that aims to predict the most probable protein targets of small molecules. Predictions are based on the similarity principle, through reverse screening. Here, we describe the 2019 version, which represents a major update in terms of underlying data, backend and web interface. The bioactivity data were updated, the model retrained and similarity thresholds redefined. In the new version, the predictions are performed by searching for similar molecules, in 2D and 3D, within a larger collection of 376 342 compounds known to be experimentally active on an extended set of 3068 macromolecular targets. An efficient backend implementation allows to speed up the process that returns results for a druglike molecule on human proteins in 15–20 s. The refreshed web interface enhances user experience with new features for easy input and improved analysis. Interoperability capacity enables straightforward submission of any input or output molecule to other on-line computer-aided drug design tools, developed by the SIB Swiss Institute of Bioinformatics. High levels of predictive performance were maintained despite more extended biological and chemical spaces to be explored, e.g. achieving at least one correct human target in the top 15 predictions for >70% of external compounds. The new SwissTargetPrediction is available free of charge (www.swisstargetprediction.ch).
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spelling pubmed-66024862019-07-05 SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules Daina, Antoine Michielin, Olivier Zoete, Vincent Nucleic Acids Res Web Server Issue SwissTargetPrediction is a web tool, on-line since 2014, that aims to predict the most probable protein targets of small molecules. Predictions are based on the similarity principle, through reverse screening. Here, we describe the 2019 version, which represents a major update in terms of underlying data, backend and web interface. The bioactivity data were updated, the model retrained and similarity thresholds redefined. In the new version, the predictions are performed by searching for similar molecules, in 2D and 3D, within a larger collection of 376 342 compounds known to be experimentally active on an extended set of 3068 macromolecular targets. An efficient backend implementation allows to speed up the process that returns results for a druglike molecule on human proteins in 15–20 s. The refreshed web interface enhances user experience with new features for easy input and improved analysis. Interoperability capacity enables straightforward submission of any input or output molecule to other on-line computer-aided drug design tools, developed by the SIB Swiss Institute of Bioinformatics. High levels of predictive performance were maintained despite more extended biological and chemical spaces to be explored, e.g. achieving at least one correct human target in the top 15 predictions for >70% of external compounds. The new SwissTargetPrediction is available free of charge (www.swisstargetprediction.ch). Oxford University Press 2019-07-02 2019-05-20 /pmc/articles/PMC6602486/ /pubmed/31106366 http://dx.doi.org/10.1093/nar/gkz382 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Daina, Antoine
Michielin, Olivier
Zoete, Vincent
SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
title SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
title_full SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
title_fullStr SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
title_full_unstemmed SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
title_short SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
title_sort swisstargetprediction: updated data and new features for efficient prediction of protein targets of small molecules
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602486/
https://www.ncbi.nlm.nih.gov/pubmed/31106366
http://dx.doi.org/10.1093/nar/gkz382
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