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Graph Neural Networks for Predicting Antimicrobial-Resistance Gene Interactions

Ai Drug Repurposing

AI Antimicrobial Resistance Drug Repurposing

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Ai Drug Repurposing › AI Antimicrobial Resistance Drug Repurposing

Graph Neural Networks for Predicting Antimicrobial-Resistance Gene Interactions

This research develops graph-based machine learning to model complex interactions between resistance genes and antimicrobial compounds as network structures, revealing hidden dependencies and vulnerabilities. The approach generates novel hypotheses about resistance mechanisms and identifies compounds that disrupt critical gene regulatory networks.

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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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