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Generative SMILES Models for Novel Drug Candidate Space Expansion

Ai Drug Repurposing

SMILES-Based Drug Representation Learning

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Ai Drug Repurposing › SMILES-Based Drug Representation Learning

Generative SMILES Models for Novel Drug Candidate Space Expansion

This study creates generative models that synthesize novel SMILES strings with desired pharmacological properties while maintaining synthetic accessibility and safety constraints. The approach expands the chemical space explored during repurposing to discover previously unconsidered therapeutic candidates.

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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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