Start with the model.
Bring your SBML or JSON reconstruction into one workspace. Inspect reactions, review model quality, and understand the starting point before asking what comes next.
Metabolic modelling, with context
See the model.
Explore what’s
possible.
A connected workspace for metabolic modelling. Inspect your model, compare constrained scenarios, and keep every result connected to its assumptions.
Built for researchers.
Ready for your next question.
+ Connected by curiosityA clearer way through.Conceptual cellular artwork
From question to context
Inspect the modelExplore scenariosPreserve the evidenceA connected perspective
Complex systems.
Clearer questions.
See the network without losing the details. Bring model inspection, constrained simulations and the context behind each result into one considered workspace.
A connected reconstruction
Every reaction has context
Illustrative network · Not a computed result
The starting point
A. baylyi ADP1
Bundled research reconstruction
durot2008-v1- Reactions
- 996
- Metabolites
- 828
- Genes
- 774
Research pilot. Chemical curation and independent biological validation remain open.
Designed around your research
Less scattered work.
More scientific context.
Make room for “what if”.
Explore FBA, pFBA, FVA, gene essentiality and knockout scenarios. Keep your objective, medium and exchange bounds explicit as you compare possibilities.
Keep the reasoning.
Save the model context, conditions and results together. Return to your assumptions, compare runs, and export a traceable record for scientific review.
Clarity is part of the science
A result is only as useful as
the context you keep with it.
Good models make their assumptions visible. Stoivia helps you hold onto the model, the question and the conditions—so your scientific judgment stays at the centre.
Let’s discuss your studyA record, not just a result
Leave a trace.
Build understanding.
- 01 The model
- Version & source
- 02 The question
- Objective & constraints
- 03 The result
- Saved assumptions & evidence
Experimental validation remains essential.
Before you begin
Good questions.
Honest answers.
Something specific on your mind?
Let’s talk about your research
What can I do in the research pilot?
The pilot supports model inspection, flux balance analysis (FBA), parsimonious FBA, flux variability analysis, gene essentiality and knockout analysis. Advanced experimental methods are outside the pilot scope; 13C-MFA is pending a validated implementation.
Can I work with my own metabolic models?
Yes. You can import supported SBML or JSON models and review their structure and quality. A model still needs an appropriate objective, reaction bounds and experimental context before its predictions can be interpreted.
How should I interpret the predictions?
A prediction describes what is possible within a model and its chosen constraints. It is a hypothesis for scientific review, not proof of biological behaviour. Chemical curation and independent biological validation remain necessary for the bundled ADP1 pilot model.
Where does AI fit into the workflow?
AI assistance is optional and depends on a configured provider. Numerical simulations use the modelling engine and your explicit constraints. AI-generated explanations do not replace the calculations, model curation or scientific judgment.
Your next question starts here
Follow your curiosity.
Keep the evidence.
Start your workspace Metabolic modelling. Thoughtfully connected.