Cargando…
Predicting Drug-Target Interactions for New Drug Compounds Using a Weighted Nearest Neighbor Profile
In silico discovery of interactions between drug compounds and target proteins is of core importance for improving the efficiency of the laborious and costly experimental determination of drug-target interaction. Drug-target interaction data are available for many classes of pharmaceutically useful...
Autores principales: | van Laarhoven, Twan, Marchiori, Elena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694117/ https://www.ncbi.nlm.nih.gov/pubmed/23840562 http://dx.doi.org/10.1371/journal.pone.0066952 |
Ejemplares similares
-
DTI-SNNFRA: Drug-target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
por: Islam, Sk Mazharul, et al.
Publicado: (2021) -
NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations
por: Zhu, Bei, et al.
Publicado: (2022) -
Corrigendum: NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations
por: Zhu, Bei, et al.
Publicado: (2022) -
Kinetic Models for Topological Nearest-Neighbor Interactions
por: Blanchet, Adrien, et al.
Publicado: (2017) -
Lectures on the nearest neighbor method
por: Biau, Gérard, et al.
Publicado: (2015)