Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space
Abstract Many computational methods to predict the macromolecular targets of small organic molecules have been presented to date. Despite progress, target prediction methods still have important limitations. For example, the most accurate methods implicitly restrict their predictions to a relatively...
Guardado en:
Autores principales: | Antonio Peón, Stefan Naulaerts, Pedro J. Ballester |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d3c61d3ca21340c9835c42f70e3c47ad |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Expanding the drug discovery space with predicted metabolite–target interactions
por: Andrea Nuzzo, et al.
Publicado: (2021) -
Predicting drug-target interaction networks based on functional groups and biological features.
por: Zhisong He, et al.
Publicado: (2010) -
Prediction of drug-target interactions and drug repositioning via network-based inference.
por: Feixiong Cheng, et al.
Publicado: (2012) -
NeuRank: learning to rank with neural networks for drug–target interaction prediction
por: Xiujin Wu, et al.
Publicado: (2021) -
A systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological data.
por: Hua Yu, et al.
Publicado: (2012)