Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules

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...

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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:
deep learning
artificial neural network
SARS-CoV-2
machine learning
graph convoluational networks
drug discovery and repurposing
Genetics
QH426-470
Acceso en línea:https://doaj.org/article/7bc2c5a443dc4da8b6177a50cec908ee
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https://doaj.org/article/7bc2c5a443dc4da8b6177a50cec908ee

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