Leveraging viral genome sequences and machine learning models for identification of potentially selective antiviral agents
Abstract Viral genome sequencing provides valuable information for antiviral development, yet its integration with machine learning for virtual screening remains underexplored. To bridge this gap, viral genome sequences were combined with structural data of approved and investigational antivirals to...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Communications Chemistry |
| Online Access: | https://doi.org/10.1038/s42004-025-01583-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|