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Interpretable Feature Extraction from SMILES for Drug Property Prediction

Ai Drug Repurposing

SMILES-Based Drug Representation Learning

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Ai Drug Repurposing › SMILES-Based Drug Representation Learning

Interpretable Feature Extraction from SMILES for Drug Property Prediction

This investigation identifies which chemical substructures and SMILES tokens most strongly influence predictions of therapeutic efficacy and off-target effects. The interpretable features reveal molecular design principles that guide rational drug repurposing strategies.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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