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...

Descripción completa

Guardado en:
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

Ejemplares similares

Ejemplares similares