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Graph Neural Networks for Synthetic Lethal Interaction Prediction

Ai Bioprocess Optimization

Graph Neural Networks for Metabolic Network Analysis

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Ai Bioprocess Optimization › Graph Neural Networks for Metabolic Network Analysis

Graph Neural Networks for Synthetic Lethal Interaction Prediction

This research applies GNNs to predict synthetic lethal gene pairs and metabolic dependencies in bioprocesses by learning complex interaction patterns across reaction networks. The work identifies novel metabolic vulnerabilities for pharmaceutical bioprocess engineering and optimized strain design strategies.

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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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