# Sbml Model Manipulation

> Use when when you have consensus metabolic reconstructions in SBML format for individual community members and need to resolve metabolic gaps by leveraging cross-member dependencies and community-level constraints before phenotypic validation or flux analysis.

- Skill: `holobiomicslab/sbml-model-manipulation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add holobiomicslab/sbml-model-manipulation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/holobiomicslab/sbml-model-manipulation/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: CC-BY-4.0
- Author: HolobiomicsLab (https://skillmd.com/u/holobiomicslab)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/holobiomicslab/sbml-model-manipulation

---


# sbml-model-manipulation

## Summary

Manipulate and validate consensus metabolic models in SBML format by applying community-dependent gap-filling algorithms to identify and resolve metabolic gaps while preserving reaction balancing and biomass production feasibility. This skill bridges upstream consensus reconstruction with downstream community-level constraint propagation.

## When to use

When you have consensus metabolic reconstructions in SBML format for individual community members and need to resolve metabolic gaps by leveraging cross-member dependencies and community-level constraints before phenotypic validation or flux analysis.

## When NOT to use

- Input reconstructions have not yet been validated for stoichiometric consistency or biomass production in isolation
- Community composition or member identities are not well-defined or validated
- You require organism-specific gap-filling rather than community-dependent constraints

## Inputs

- Consensus metabolic reconstructions (SBML format) for community members
- Community-level metabolic constraints or member interdependencies (implicit or explicit)

## Outputs

- Gap-filled community metabolic model (SBML or JSON format)
- Validation report documenting reaction balancing and biomass feasibility

## How to apply

Load the SBML-encoded consensus metabolic reconstructions for each community member from the upstream consensus-building step. Apply COMMIT's community-dependent gap-filling algorithm, which identifies metabolic gaps by analyzing member reconstructions in the context of community-level constraints and cross-member metabolic dependencies. Validate the gap-filled models by checking reaction balancing (stoichiometric consistency), confirming biomass production feasibility (non-zero flux through biomass pseudoreaction), and ensuring no orphan metabolites remain. Export the complete gap-filled community model in standard SBML or JSON format for downstream analysis.

## Related tools

- **COMMIT** (Performs community-dependent gap-filling on consensus metabolic reconstructions) — https://zenodo.org/badge/latestdoi/363932874

## Evaluation signals

- All reactions in the gap-filled model are stoichiometrically balanced (element counts conserved per reaction)
- Biomass pseudoreaction has non-zero flux under simulated growth conditions
- No orphan metabolites remain (all metabolites are consumed or produced by at least one reaction)
- Gap-filled model maintains compatibility with consensus reconstructions of individual members
- SBML schema validation passes; file parses without syntax errors

## Limitations

- Gap-filling relies on availability of high-quality consensus reconstructions and well-characterized community-level constraints; sparse or missing interdependencies may limit effectiveness
- Validation of biomass production feasibility is model-dependent and may not reflect in vivo growth behavior
- Method is demonstrated on Arabidopsis thaliana communities; applicability to other plant species or ecosystems not explicitly evaluated

## Evidence

- [other] Apply COMMIT's community-dependent gap-filling algorithm: "Apply COMMIT's community-dependent gap-filling algorithm to identify and fill metabolic gaps in each member reconstruction by leveraging community-level constraints and cross-member dependencies."
- [other] Validate for reaction balancing and biomass production: "Validate the gap-filled models for consistency (reaction balancing, biomass production feasibility) and export the complete gap-filled community model in standard format (SBML or JSON)."
- [intro] COMMIT for communities sampled from Arabidopsis thaliana: "community-dependent gap-filling using COMMIT for communites sampled from Arabidopsis thaliana"
- [other] Load consensus metabolic reconstructions: "Load consensus metabolic reconstructions for the community members from the upstream consensus-building step."