Assessing the Extrapolation Capability of Template-Free Retrosynthesis Models
–arXiv.org Artificial Intelligence
Despite the acknowledged capability of template-free models in exploring unseen reaction spaces compared to template-based models for retrosynthesis prediction, their ability to venture beyond established boundaries remains relatively uncharted. In this study, we empirically assess the extrapolation capability of state-of-the-art template-free models by meticulously assembling an extensive set of out-of-distribution (OOD) reactions. Our findings demonstrate that while template-free models exhibit potential in predicting precursors with novel synthesis rules, their top-10 exact-match accuracy in OOD reactions is strikingly modest (< 1%). Furthermore, despite the capability of generating novel reactions, our investigation highlights a recurring issue where more than half of the novel reactions predicted by template-free models are chemically implausible. Consequently, we advocate for the future development of template-free models that integrate considerations of chemical feasibility when navigating unexplored regions of reaction space.
arXiv.org Artificial Intelligence
Feb-28-2024
- Country:
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- Asia > South Korea
- Europe > United Kingdom
- Genre:
- Research Report > New Finding (1.00)
- Technology: