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Found 3 papers, 2 papers with code
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19
This work formulates antiviral repositioning as a matrix completion problem where the antiviral drugs are along the rows and the viruses along the columns.
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials
The main contribution of this work is a manually curated database publicly shared, comprising of existing associations between viruses and their corresponding antivirals.
Quantitative Methods
Deep Latent Factor Model for Collaborative Filtering
Latent factor models have been used widely in collaborative filtering based recommender systems.
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