Science of Synthesis on IBM RXN for Chemistry
Best Methods, Best Results
A joint study with IBM showed that supplementing a large, publicly available reaction dataset extracted from patents with the SOS data when training AI models for retrosynthesis and forward-reaction prediction leads to significant improvements in performance.
Models Trained with SOS Datsets Deliver Better Results
Analysis of the results by an international group of leading synthetic chemists showed that when compared to the model trained on the patent data alone, the IBM RXN model trained on a combination of the patent data with the SOS dataset gave improved accuracy in forward-reaction prediction by a factor of 3, and improved performance in retrosynthesis by a factor of 9. The models trained on the Science of Synthesis data are now available to you on the IBM RXN for Chemistry platform.
Contact Our SOS Dataset Experts
If you are interested in further information, please get in touch. We will be pleased to provide you with our content! Send an email to sos-datasets@thieme.com