D E S I G N · D E C O D E · D I S C O V E R
Systematically refine community structure to identify function preserving consortia. Our MILP‑driven framework extracts metabolic ‘fingerprints’ — minimal microbial assemblies that sustain targeted functional objectives.
7,300+ AGORA2 Models
MILP‑based Optimization
Computational Pipeline
From raw data to predictive metabolic models in four automated, high-precision steps.
01
Taxa Mapping
Ingest raw taxonomic outputs. Automatically map inputs to standardized AGORA reference models.
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02
Model Selection
Evaluate algorithmic recommendations. Interactively compare and choose relevant models.
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03
Simulation Setup
Define metabolic constraints and targets. Execute the solver for minimal communities.
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04
Monitoring & Reports
Track simulation progress in real-time. Access comprehensive data visualization.
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QBio Research Group
University of Turin