Framework AI Chimera: A new approach for accurate retrosynthesis prediction
The episode introduces Chimera, an advanced artificial intelligence framework designed for predicting chemical retrosynthesis. Chimera integrates multiple machine learning models, each with distinct inductive biases, thereby improving the overall accuracy of predictions, particularly for complex or rare reactions. Tests conducted on public and industrial datasets, such as USPTO and Novartis, confirm the system's robustness and strong generalization capabilities. This tool provides valuable support to chemists in identifying more efficient synthetic pathways, reducing manual effort and accelerating the development of new molecules. Chimera does not replace human expertise but serves as a decision-making aid, allowing experts to focus on more strategic and in-depth evaluations.