SARS-CoV-2 dataset
Emerging6papers using it
2022first seen
The 'SARS-CoV-2 dataset' is a carefully curated collection of data used to evaluate the effectiveness of compounds in both target inhibitory and cell active properties for drug discovery against SARS-CoV-2.
Papers using SARS-CoV-2 dataset (6)
- Resilient Biosecurity in the Era of AI-Enabled BioweaponsActive Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor GenerationPrimer C-VAE: An interpretable deep learning primer design method to detect emerging virus variantsPredicting sub-population specific viral evolutionBridging the gap between target-based and cell-based drug discovery with
a graph generative multi-task modelCoViT: Real-time phylogenetics for the SARS-CoV-2 pandemic using Vision
Transformers