Interprets deep learning models in drug discovery to reveal hidden pharmacophores.
problem Neural networks in drug discovery are opaque; lack of interpretability limits their use.
method Identifies key components (pharmacophores/toxicophores) that influence model predictions.
result Extracted pharmacophores are consistent with literature findings and provide new insights.