Mining the biomedical literature to predict shared drug targets in drugbank

The current drug development pipelines are characterised by long processes with high attrition rates and elevated costs. More than 80% of new compounds fail in the later stages of testing due to severe side-effects caused by unknown biomolecular targets of the compounds. In this work, we present a m...

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Detalles Bibliográficos
Autores principales:	Caniza, Horacio, Galeano, Diego, Paccanaro, Alberto
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2017
Materias:	Ciencias Informáticas MeSH terms drug descriptors drug targets drugbank
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/63201 http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-03.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-63201
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas MeSH terms drug descriptors drug targets drugbank
spellingShingle	Ciencias Informáticas MeSH terms drug descriptors drug targets drugbank Caniza, Horacio Galeano, Diego Paccanaro, Alberto Mining the biomedical literature to predict shared drug targets in drugbank
topic_facet	Ciencias Informáticas MeSH terms drug descriptors drug targets drugbank
description	The current drug development pipelines are characterised by long processes with high attrition rates and elevated costs. More than 80% of new compounds fail in the later stages of testing due to severe side-effects caused by unknown biomolecular targets of the compounds. In this work, we present a measure that can predict shared targets for drugs in DrugBank through large scale analysis of the biomedical literature. We show that using MeSH ontology terms can accurately describe the drugs and that appropriate use of the MeSH ontological structure can determine pairwise drug similarity.
format	Objeto de conferencia Objeto de conferencia
author	Caniza, Horacio Galeano, Diego Paccanaro, Alberto
author_facet	Caniza, Horacio Galeano, Diego Paccanaro, Alberto
author_sort	Caniza, Horacio
title	Mining the biomedical literature to predict shared drug targets in drugbank
title_short	Mining the biomedical literature to predict shared drug targets in drugbank
title_full	Mining the biomedical literature to predict shared drug targets in drugbank
title_fullStr	Mining the biomedical literature to predict shared drug targets in drugbank
title_full_unstemmed	Mining the biomedical literature to predict shared drug targets in drugbank
title_sort	mining the biomedical literature to predict shared drug targets in drugbank
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/63201 http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-03.pdf
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bdutipo_str	Repositorios
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Mining the biomedical literature to predict shared drug targets in drugbank

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