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LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes

A considerable effort has been devoted to retrieve systematically information for genes and proteins as well as relationships between them. Despite the importance of chemical compounds and drugs as a central bio-entity in pharmacological and biological research, only a limited number of freely avail...

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Autores principales: Cañada, Andres, Capella-Gutierrez, Salvador, Rabal, Obdulia, Oyarzabal, Julen, Valencia, Alfonso, Krallinger, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570141/
https://www.ncbi.nlm.nih.gov/pubmed/28531339
http://dx.doi.org/10.1093/nar/gkx462
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author Cañada, Andres
Capella-Gutierrez, Salvador
Rabal, Obdulia
Oyarzabal, Julen
Valencia, Alfonso
Krallinger, Martin
author_facet Cañada, Andres
Capella-Gutierrez, Salvador
Rabal, Obdulia
Oyarzabal, Julen
Valencia, Alfonso
Krallinger, Martin
author_sort Cañada, Andres
collection PubMed
description A considerable effort has been devoted to retrieve systematically information for genes and proteins as well as relationships between them. Despite the importance of chemical compounds and drugs as a central bio-entity in pharmacological and biological research, only a limited number of freely available chemical text-mining/search engine technologies are currently accessible. Here we present LimTox (Literature Mining for Toxicology), a web-based online biomedical search tool with special focus on adverse hepatobiliary reactions. It integrates a range of text mining, named entity recognition and information extraction components. LimTox relies on machine-learning, rule-based, pattern-based and term lookup strategies. This system processes scientific abstracts, a set of full text articles and medical agency assessment reports. Although the main focus of LimTox is on adverse liver events, it enables also basic searches for other organ level toxicity associations (nephrotoxicity, cardiotoxicity, thyrotoxicity and phospholipidosis). This tool supports specialized search queries for: chemical compounds/drugs, genes (with additional emphasis on key enzymes in drug metabolism, namely P450 cytochromes—CYPs) and biochemical liver markers. The LimTox website is free and open to all users and there is no login requirement. LimTox can be accessed at: http://limtox.bioinfo.cnio.es
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spelling pubmed-55701412017-08-29 LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes Cañada, Andres Capella-Gutierrez, Salvador Rabal, Obdulia Oyarzabal, Julen Valencia, Alfonso Krallinger, Martin Nucleic Acids Res Web Server Issue A considerable effort has been devoted to retrieve systematically information for genes and proteins as well as relationships between them. Despite the importance of chemical compounds and drugs as a central bio-entity in pharmacological and biological research, only a limited number of freely available chemical text-mining/search engine technologies are currently accessible. Here we present LimTox (Literature Mining for Toxicology), a web-based online biomedical search tool with special focus on adverse hepatobiliary reactions. It integrates a range of text mining, named entity recognition and information extraction components. LimTox relies on machine-learning, rule-based, pattern-based and term lookup strategies. This system processes scientific abstracts, a set of full text articles and medical agency assessment reports. Although the main focus of LimTox is on adverse liver events, it enables also basic searches for other organ level toxicity associations (nephrotoxicity, cardiotoxicity, thyrotoxicity and phospholipidosis). This tool supports specialized search queries for: chemical compounds/drugs, genes (with additional emphasis on key enzymes in drug metabolism, namely P450 cytochromes—CYPs) and biochemical liver markers. The LimTox website is free and open to all users and there is no login requirement. LimTox can be accessed at: http://limtox.bioinfo.cnio.es Oxford University Press 2017-07-03 2017-05-22 /pmc/articles/PMC5570141/ /pubmed/28531339 http://dx.doi.org/10.1093/nar/gkx462 Text en © The Author(s) 2017. 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 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
Cañada, Andres
Capella-Gutierrez, Salvador
Rabal, Obdulia
Oyarzabal, Julen
Valencia, Alfonso
Krallinger, Martin
LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
title LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
title_full LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
title_fullStr LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
title_full_unstemmed LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
title_short LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
title_sort limtox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570141/
https://www.ncbi.nlm.nih.gov/pubmed/28531339
http://dx.doi.org/10.1093/nar/gkx462
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