DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction
DISSOLVR is a transparent framework for predicting molecular solubility using engineered descriptors instead of complex deep learning. It achieves high accuracy and efficiency by combining structural features, thermodynamic reconstruction, and an interaction layer to model solvent effects. The framework includes an LLM-assisted pipeline to provide chemically grounded explanations for its predictions.