metanetx

is a Data Source.

MetaNetX is an online platform for accessing, analyzing, and manipulating genome-scale metabolic networks (GSM) and biochemical pathways, integrating data from multiple sources with a unified namespace for metabolites and biochemical reactions.

Domains

biological systems, chemistry and biochemistry

License

CC-BY-4.0

Homepage

metanetx

Repository

Unknown

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
metanetx.site MetaNetX Web Interface www.metanetx.org GraphicalInterface ❔ Web interface for exploring and analy...
metanetx.sparql MetaNetX SPARQL Endpoint rdf.metanetx.org ProgrammingInterface ❔ SPARQL endpoint for querying MetaNetX...
metanetx.mnxref.metabolites ⚠ MetaNetX MNXref Metabolites chem_xref.tsv Product tsv MNXref unified namespace for metaboli...
metanetx.mnxref.reactions ⚠ MetaNetX MNXref Reactions reac_xref.tsv Product tsv MNXref unified namespace for reaction...
metanetx.rdf MetaNetX RDF Data metanetx.ttl.gz (226.1 MB) Product ttl RDF version of the MetaNetX data for ...

Details

MetaNetX is a comprehensive platform for accessing, analyzing, and manipulating genome-scale metabolic networks (GSMs) and biochemical pathways. Its primary focus is providing a unified namespace for metabolites and biochemical reactions in the context of metabolic models.

Key features of MetaNetX include:

  • MNXref: A unified namespace and identifier system for metabolites and reactions across numerous biochemical databases
  • Repository of curated metabolic models from various organisms
  • Tools for metabolic network analysis, including flux balance analysis (FBA), reaction knockout analysis, and pathway visualization
  • Support for building and customizing metabolic models from annotated genomes
  • ID mapping services to convert between different database identifiers
  • Semantic web interface through RDF and a SPARQL endpoint

MetaNetX integrates data from multiple major biochemical databases including KEGG, BiGG, MetaCyc, Rhea, and SEED, making it a valuable resource for metabolic modeling, systems biology, and biochemistry research. The platform is maintained by the Swiss Institute of Bioinformatics (SIB) with support from SystemsX.ch and other organizations.

The database provides access through a user-friendly web interface, programmatic access via a SPARQL endpoint, and downloadable data files containing the metabolite and reaction cross-references and other relevant data.

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Created: May 07, 2025 | Last modified: February 20, 2026