Cargando…
In silico drug repositioning using deep learning and comprehensive similarity measures
BACKGROUND: Drug repositioning, meanings finding new uses for existing drugs, which can accelerate the processing of new drugs research and development. Various computational methods have been presented to predict novel drug–disease associations for drug repositioning based on similarity measures am...
Autores principales: | Yi, Hai-Cheng, You, Zhu-Hong, Wang, Lei, Su, Xiao-Rui, Zhou, Xi, Jiang, Tong-Hai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170943/ https://www.ncbi.nlm.nih.gov/pubmed/34074242 http://dx.doi.org/10.1186/s12859-020-03882-y |
Ejemplares similares
-
Guiding Drug Repositioning for Cancers Based on Drug Similarity Networks
por: Qin, Shimei, et al.
Publicado: (2023) -
An in silico drug repositioning workflow for host-based antivirals
por: Li, Zexu, et al.
Publicado: (2021) -
MeSHDD: Literature-based drug-drug similarity for drug repositioning
por: Brown, Adam S, et al.
Publicado: (2017) -
A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds
por: He, Binsheng, et al.
Publicado: (2021) -
The assessment of efficient representation of drug features using deep learning for drug repositioning
por: Moridi, Mahroo, et al.
Publicado: (2019)