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Graph Neural Networks for Metabolic Pathway Prediction

Ai Bioprocess Optimization

Neural Network Surrogate Models for Bioprocesses

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Ai Bioprocess Optimization › Neural Network Surrogate Models for Bioprocesses

Graph Neural Networks for Metabolic Pathway Prediction

This research investigates how graph neural networks can model complex metabolic networks and predict pathway dynamics in bioprocesses with unprecedented accuracy. The findings advance mechanistic understanding of cellular metabolism and enable rational design of engineered microorganisms for bioproduction.

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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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