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Multi-Relational Graph Neural Networks for Polypharmacology Target Mapping

Ai Drug Repurposing

Graph Neural Networks Drug Target Prediction

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Ai Drug Repurposing › Graph Neural Networks Drug Target Prediction

Multi-Relational Graph Neural Networks for Polypharmacology Target Mapping

This research develops multi-relational graph neural networks that simultaneously model diverse interaction types including direct binding, pathway crosstalk, and side-effect relationships for drugs. The investigation maps polypharmacological profiles enabling strategic repurposing toward complex diseases requiring multi-target interventions.

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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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