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Graph Neural Networks for Protein-Drug Binding Affinity Prediction

Ai Drug Repurposing

Graph Neural Networks Drug Target Prediction

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Ai Drug Repurposing › Graph Neural Networks Drug Target Prediction

Graph Neural Networks for Protein-Drug Binding Affinity Prediction

This research investigates how graph neural networks can model molecular interactions by representing proteins and ligands as interconnected graph structures to predict binding affinities. The work advances computational drug discovery by enabling rapid, accurate identification of candidate compounds for disease targets without expensive wet-lab screening.

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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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