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Drug targets prediction using chemical similarity

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URI
http://hdl.handle.net/20.500.14066/2841
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Author(s)
Galeano Galeano, Diego ArielCONACYT Authority; Paccanaro, AlbertoCONACYT Authority
Date of publishing
2016
Type of publication
research article
Subject(s)
DRUG
PROTEIN-PROTEIN INTERACTION NETWORK
GENE/PROTEIN/LIGAND RELATIONSHIPS
DRUG TARGETS
INDUSTRIA FARMACEUTICA
FARMACOLOGIA
 
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.
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