Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules
Drug discovery and repurposing against COVID-19 is a highly relevant topic with huge efforts dedicated to delivering novel therapeutics targeting SARS-CoV-2. In this context, computer-aided drug discovery is of interest in orienting the early high throughput screenings and in optimizing the hit iden...
Guardado en:
Autores principales: | Emna Harigua-Souiai, Mohamed Mahmoud Heinhane, Yosser Zina Abdelkrim, Oussama Souiai, Ines Abdeljaoued-Tej, Ikram Guizani |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7bc2c5a443dc4da8b6177a50cec908ee |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Survey of community discovery method of heterogeneous network
por: Wanzhen ZHOU, et al.
Publicado: (2021) -
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks
por: Mapopa Chipofya, et al.
Publicado: (2021) -
A Novel Method for Discovering Process Based on the Network Analysis Approach in the Context of Social Commerce Systems
por: Esmaeili,Leila, et al.
Publicado: (2021) -
Graph Embedding Based Novel Gene Discovery Associated With Diabetes Mellitus
por: Jianzong Du, et al.
Publicado: (2021) -
Spectral-Spatial Offset Graph Convolutional Networks for Hyperspectral Image Classification
por: Minghua Zhang, et al.
Publicado: (2021)