Canopy: A Heterograph Foundation Model for Metabolic Engineering
Designing microbial strains that produce high-value chemicals at commercially viable titers remains a central challenge in metabolic engineering. Existing computational approaches either rely on stoichiometric constraint-based models that cannot learn from experimental data, or apply tabular machine learning to hand-crafted features that discard the relational structure of biological knowledge. We present Canopy, a heterogeneous graph foundation model that integrates ten public and proprietary data sources into a unified knowledge graph (KG) of 6.9M nodes across 13 types and 34 edge types, cov
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- PossiblePossibly related (embedding) · 46%bibinprathap/VeritasGraph →
- LinkedLinked via arxiv author · 85%Jake Bowden →
“Canopy: A Heterograph Foundation Model for Metabolic Engineering”
- LinkedLinked via arxiv author · 85%Laurence Legon →
“Canopy: A Heterograph Foundation Model for Metabolic Engineering”
- LinkedLinked via arxiv author · 85%Satnam Surae →
“Canopy: A Heterograph Foundation Model for Metabolic Engineering”