A hybrid framework of generative deep learning for antiviral peptide discovery

A hybrid framework of generative deep learning for antiviral peptide discovery

Abstract Antiviral peptides (AVPs) hold great potential for combating viral infections, yet their discovery and development remain challenging. In this study, we present a hybrid model combining Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) and Bidirectional Long Short-...

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Bibliographic Details
Main Authors: Huynh Anh Duy, Tarapong Srisongkram
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Antiviral discovery
Bioinformatics
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-11328-9
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https://doi.org/10.1038/s41598-025-11328-9

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