Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Drwal, Malgorzata N., Banerjee, Priyanka, Dunkel, Mathias, Wettig, Martin R., Preissner, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
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
_version_ 1782324759738974208
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
work_keys_str_mv AT drwalmalgorzatan protoxawebserverfortheinsilicopredictionofrodentoraltoxicity
AT banerjeepriyanka protoxawebserverfortheinsilicopredictionofrodentoraltoxicity
AT dunkelmathias protoxawebserverfortheinsilicopredictionofrodentoraltoxicity
AT wettigmartinr protoxawebserverfortheinsilicopredictionofrodentoraltoxicity
AT preissnerrobert protoxawebserverfortheinsilicopredictionofrodentoraltoxicity