ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data
Abstract Accurate chemical reaction prediction is critical for reducing both cost and time in drug development. This study introduces ReactionT5, a transformer-based chemical reaction foundation model pre-trained on the Open Reaction Database—a large publicly available reaction dataset. In benchmark...
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| Main Authors: | Tatsuya Sagawa, Ryosuke Kojima |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
|
| Series: | Journal of Cheminformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13321-025-01075-4 |
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