Welcome to MetaBridge, a web tool for network-based integrative analysis of metabolomics data. Here you can upload a set of metabolites and identify the directly interacting enzymes for network integration.

To start, you'll want a set of metabolites as HMDB, KEGG, PubChem, or CAS IDs. We recommend MetaboAnalyst for metabolomics data processing and ID conversion.

With the output of MetaBridge, you can create a protein-protein interaction network representative of your metabolomics data. We recommend NetworkAnalyst for generation of these networks and for network-based integration with protein-protein interaction networks created from other omics types.


Upload a plain-text spreadsheet (CSV or TSV) containing your metabolites of interest in a single column, or try out our example dataset.

Try Examples

Choose a database to map with. MetaCyc has higher quality annotations, but KEGG may yield more hits. If you map via KEGG, you also have the option to visualize your results.


Network-Based Integrative Analysis with MetaBridge

Below you will find a sample workflow for integrating your metabolomics data with transcriptomics or proteomics data via network methodologies. You can also view this tutorial on GitHub.

  1. Metabolite Preprocessing
  2. MetaBridge Mapping
  3. NetworkAnalyst

I. Metabolite Preprocessing (Optional)

To start using MetaBridge, you need to upload a list of compounds of interest as metabolite IDs. If you are starting with raw metabolomics data, you will need to preprocess your metabolites with your method of choice to obtain compounds of interest and their corresponding metabolite IDs. We recommend MetaboAnalyst for metabolite preprocessing.


II. MetaBridge Mapping

1. Upload Metabolites

Upload your metabolites to MetaBridge and select your metabolites for mapping.

Upload Metabolites

2. Map Metabolites

Choose a database to map against and view your mapping results.