A separable temporal convolutional networks based deep learning technique for discovering antiviral medicines – Scientific Reports

The article discusses the use of artificial intelligence (AI) and deep learning techniques in accelerating the discovery of antibacterial and antifungal peptides. It highlights the development of various predictive models and databases that aid in the identification and classification of these peptides. The article also explores the potential of these peptides in the development of novel therapeutic drugs, particularly in the fight against viral infections and multi-drug resistance.

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