Cargando…
Link prediction in drug-target interactions network using similarity indices
BACKGROUND: In silico drug-target interaction (DTI) prediction plays an integral role in drug repositioning: the discovery of new uses for existing drugs. One popular method of drug repositioning is network-based DTI prediction, which uses complex network theory to predict DTIs from a drug-target ne...
Autores principales: | Lu, Yiding, Guo, Yufan, Korhonen, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240398/ https://www.ncbi.nlm.nih.gov/pubmed/28095781 http://dx.doi.org/10.1186/s12859-017-1460-z |
Ejemplares similares
-
Prediction of Drug Indications Based on Chemical Interactions and Chemical Similarities
por: Huang, Guohua, et al.
Publicado: (2015) -
Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches
por: Crichton, Gamal, et al.
Publicado: (2018) -
PPDTS: Predicting potential drug–target interactions based on network similarity
por: Wang, Wei, et al.
Publicado: (2021) -
Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
por: Rohani, Narjes, et al.
Publicado: (2019) -
Novel drug-target interactions via link prediction and network embedding
por: Amiri Souri, E., et al.
Publicado: (2022)