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ProTox: a web server for the in silico prediction of rodent oral toxicity
Animal trials are currently the major method for determining the possible toxic effects of drug candidates and cosmetics. In silico prediction methods represent an alternative approach and aim to rationalize the preclinical drug development, thus enabling the reduction of the associated time, costs...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086068/ https://www.ncbi.nlm.nih.gov/pubmed/24838562 http://dx.doi.org/10.1093/nar/gku401 |
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author | Drwal, Malgorzata N. Banerjee, Priyanka Dunkel, Mathias Wettig, Martin R. Preissner, Robert |
author_facet | Drwal, Malgorzata N. Banerjee, Priyanka Dunkel, Mathias Wettig, Martin R. Preissner, Robert |
author_sort | Drwal, Malgorzata N. |
collection | PubMed |
description | Animal trials are currently the major method for determining the possible toxic effects of drug candidates and cosmetics. In silico prediction methods represent an alternative approach and aim to rationalize the preclinical drug development, thus enabling the reduction of the associated time, costs and animal experiments. Here, we present ProTox, a web server for the prediction of rodent oral toxicity. The prediction method is based on the analysis of the similarity of compounds with known median lethal doses (LD50) and incorporates the identification of toxic fragments, therefore representing a novel approach in toxicity prediction. In addition, the web server includes an indication of possible toxicity targets which is based on an in-house collection of protein–ligand-based pharmacophore models (‘toxicophores’) for targets associated with adverse drug reactions. The ProTox web server is open to all users and can be accessed without registration at: http://tox.charite.de/tox. The only requirement for the prediction is the two-dimensional structure of the input compounds. All ProTox methods have been evaluated based on a diverse external validation set and displayed strong performance (sensitivity, specificity and precision of 76, 95 and 75%, respectively) and superiority over other toxicity prediction tools, indicating their possible applicability for other compound classes. |
format | Online Article Text |
id | pubmed-4086068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40860682014-12-01 ProTox: a web server for the in silico prediction of rodent oral toxicity Drwal, Malgorzata N. Banerjee, Priyanka Dunkel, Mathias Wettig, Martin R. Preissner, Robert Nucleic Acids Res Article Animal trials are currently the major method for determining the possible toxic effects of drug candidates and cosmetics. In silico prediction methods represent an alternative approach and aim to rationalize the preclinical drug development, thus enabling the reduction of the associated time, costs and animal experiments. Here, we present ProTox, a web server for the prediction of rodent oral toxicity. The prediction method is based on the analysis of the similarity of compounds with known median lethal doses (LD50) and incorporates the identification of toxic fragments, therefore representing a novel approach in toxicity prediction. In addition, the web server includes an indication of possible toxicity targets which is based on an in-house collection of protein–ligand-based pharmacophore models (‘toxicophores’) for targets associated with adverse drug reactions. The ProTox web server is open to all users and can be accessed without registration at: http://tox.charite.de/tox. The only requirement for the prediction is the two-dimensional structure of the input compounds. All ProTox methods have been evaluated based on a diverse external validation set and displayed strong performance (sensitivity, specificity and precision of 76, 95 and 75%, respectively) and superiority over other toxicity prediction tools, indicating their possible applicability for other compound classes. Oxford University Press 2014-07-01 2014-05-16 /pmc/articles/PMC4086068/ /pubmed/24838562 http://dx.doi.org/10.1093/nar/gku401 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Drwal, Malgorzata N. Banerjee, Priyanka Dunkel, Mathias Wettig, Martin R. Preissner, Robert ProTox: a web server for the in silico prediction of rodent oral toxicity |
title | ProTox: a web server for the in silico prediction of rodent oral toxicity |
title_full | ProTox: a web server for the in silico prediction of rodent oral toxicity |
title_fullStr | ProTox: a web server for the in silico prediction of rodent oral toxicity |
title_full_unstemmed | ProTox: a web server for the in silico prediction of rodent oral toxicity |
title_short | ProTox: a web server for the in silico prediction of rodent oral toxicity |
title_sort | protox: a web server for the in silico prediction of rodent oral toxicity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086068/ https://www.ncbi.nlm.nih.gov/pubmed/24838562 http://dx.doi.org/10.1093/nar/gku401 |
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