MolExplain: An Interactive Tool for Explainable Molecular Property Prediction
The application of machine learning to molecular property prediction has become increasingly prevalent in drug discovery, yet most models operate as black boxes, returning a prediction without revealing which structural features drive it. MolExplain addresses this gap by combining property prediction with sub-structure...
Pirm Dhararag, D. Cashman
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