RetroExplainer

RetroExplainer is a deep-learning framework designed for predicting retrosynthesis pathways with a focus on molecular assembly reasoning and interpretability. It allows users to generate and analyze potential synthetic routes for chemical compounds, making it a useful tool in the field of molecular design.