Drug targets prediction using chemical similarity

dc.contributor.author	Galeano Galeano, Diego Ariel
dc.contributor.author	Paccanaro, Alberto
dc.date.accessioned	2022-04-06T23:14:53Z
dc.date.available	2022-04-06T23:14:53Z
dc.date.issued	2016
dc.identifier.uri	http://hdl.handle.net/20.500.14066/2841
dc.description.abstract	Abstract—The growing productivity gap between investment in drug research and development (R&D) and the number of new medicines approved by the US Food and Drug Administration (FDA) in the past decade is concerning. This productivity problem raises the need for innovative approaches for drug-target prediction and a deeper understanding of the interplay between drugs and their target proteins. Chemogenomics is the interdisciplinary field which aims to predict gene/protein/ligand relationships.	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	DRUG	es
dc.subject.other	PROTEIN-PROTEIN INTERACTION NETWORK	es
dc.subject.other	GENE/PROTEIN/LIGAND RELATIONSHIPS	es
dc.subject.other	DRUG TARGETS	es
dc.subject.other	INDUSTRIA FARMACEUTICA	es
dc.subject.other	FARMACOLOGIA	es
dc.title	Drug targets prediction using chemical similarity	es
dc.type	research article	es
dc.identifier.doi	10.1109/CLEI.2016.7833353	es
dc.description.fundingtext	PROCIENCIA	es
dc.relation.projectCONACYT	14-INV-088	es
dc.rights.accessRights	open access	es
dc.rights.copyright	© 2016 IEEE	es

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.