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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Bibliographic Details
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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