Home▸Articles▸Biology

Metabolic Network Modeling

From genome-scale reconstructions to predictive simulations of metabolism.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

Models

Stoichiometric (GEMs) and constraint-based methods

Kinetic models and parameterization

жива демонстрація · пов'язана симуляція● LIVE

Data Integration

Omics constraints, fluxomics, and condition-specific models.

Examples

Example: Optimizing Bioproduct Yield

Constrain model with media and uptake rates.

Run FBA and identify bottlenecks.

Propose engineering strategies and validate.

Frequently asked questions

How to build a GEM?

Start from databases and curate with literature.

Objective functions?

Growth, ATP maintenance, or custom goals.

Limits of FBA?

No dynamics; consider kinetic or dFBA.

Parameter fitting?

Use experimental data and priors.

Validation?

Compare predictions with knockouts and flux data.

Multi-tissue models?

Link compartments and exchange fluxes.

Thermodynamics?

Add constraints to ensure directionality.

Software?

COBRApy and related toolboxes.

Uncertainty?

Perform sensitivity and ensemble analyses.

Applications?

Bioproduction, disease modeling, and drug targets.

Try it live

Everything above runs in your browser — open Metabolic Flux Network Simulator and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Metabolic Flux Network Simulator simulation