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Multi-Target Drug Interaction Prediction via Graph Neural Networks

Ai Drug Repurposing

AI Polypharmacology-Based Repurposing Research

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Ai Drug Repurposing › AI Polypharmacology-Based Repurposing Research

Multi-Target Drug Interaction Prediction via Graph Neural Networks

This research investigates how graph neural networks can model complex protein-drug interaction networks to predict off-target effects and therapeutic synergies across multiple biological pathways. The work produces machine learning frameworks that identify novel drug combinations and single agents with unexpected polypharmacological benefits for disease treatment.

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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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