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Attention-Based SMILES Tokenization for Multi-Task Pharmacological Modeling

Ai Drug Repurposing

SMILES-Based Drug Representation Learning

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Ai Drug Repurposing › SMILES-Based Drug Representation Learning

Attention-Based SMILES Tokenization for Multi-Task Pharmacological Modeling

This research develops attention mechanisms that dynamically weight different molecular fragments in SMILES representations for simultaneous prediction of multiple pharmacological endpoints. The method produces unified molecular embeddings that improve repurposing accuracy by capturing polypharmacology patterns.

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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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