Mostrar el registro sencillo del ítem
Mining the biomedical literature to predict shared drug targets in DrugBank
dc.contributor.author | Caniza, Horacio Jose | |
dc.contributor.author | Galeano Galeano, Diego Ariel | |
dc.contributor.author | Paccanaro, Alberto | |
dc.date.accessioned | 2022-04-06T23:05:55Z | |
dc.date.available | 2022-04-06T23:05:55Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14066/2840 | |
dc.description.abstract | 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. | es |
dc.description.sponsorship | CONACYT – Consejo Nacional de Ciencia y Tecnología | es |
dc.language.iso | eng | es |
dc.subject.classification | 6 Producción y tecnología industrial | es |
dc.subject.other | MESH TERMS | es |
dc.subject.other | DRUG TARGETS | es |
dc.subject.other | DRUG DESCRIPTORS | es |
dc.subject.other | DRUGBANK | es |
dc.subject.other | BIOMEDICAL LITERATURE | es |
dc.subject.other | BIOMEDICINA | es |
dc.subject.other | FARMACOLOGIA | es |
dc.subject.other | INDUSTRIA FARMACEUTICA | es |
dc.title | Mining the biomedical literature to predict shared drug targets in DrugBank | es |
dc.type | research article | es |
dc.identifier.doi | 10.1109/CLEI.2017.8226376 | es |
dc.description.fundingtext | PROCIENCIA | es |
dc.relation.projectCONACYT | 14-INV-088 | es |
dc.rights.accessRights | open access | es |
dc.rights.copyright | © 2017 IEEE European Union | es |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
Artículos científicos
La colección comprende artículos científicos, revisiones y artículos de conferencia que son resultados de actividades científicas y de innovación financiadas por los programas PROCIENCIA y PROINNOVA.