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# Metabolomics Workbench REST API Reference
## Base URL
All API requests use the following base URL:
```
https://www.metabolomicsworkbench.org/rest/
```
## API Structure
The REST API follows a consistent URL pattern:
```
/context/input_item/input_value/output_item/output_format
```
- **context**: The type of resource to access (study, compound, refmet, metstat, gene, protein, moverz)
- **input_item**: The type of identifier or search parameter
- **input_value**: The specific value to search for
- **output_item**: What data to return (e.g., all, name, summary)
- **output_format**: json or txt (json is default if omitted)
## Output Formats
- **json**: Machine-readable JSON format (default)
- **txt**: Tab-delimited text format for human readability
## Context 1: Compound
Retrieve metabolite structure and identification data.
### Input Items
| Input Item | Description | Example |
|------------|-------------|---------|
| `regno` | Metabolomics Workbench registry number | 11 |
| `pubchem_cid` | PubChem Compound ID | 5281365 |
| `inchi_key` | International Chemical Identifier Key | WQZGKKKJIJFFOK-GASJEMHNSA-N |
| `formula` | Molecular formula | C6H12O6 |
| `lm_id` | LIPID MAPS ID | LM... |
| `hmdb_id` | Human Metabolome Database ID | HMDB0000122 |
| `kegg_id` | KEGG Compound ID | C00031 |
### Output Items
| Output Item | Description |
|-------------|-------------|
| `all` | All available compound data |
| `classification` | Compound classification |
| `regno` | Registry number |
| `formula` | Molecular formula |
| `exactmass` | Exact mass |
| `inchi_key` | InChI Key |
| `name` | Common name |
| `sys_name` | Systematic name |
| `smiles` | SMILES notation |
| `lm_id` | LIPID MAPS ID |
| `pubchem_cid` | PubChem CID |
| `hmdb_id` | HMDB ID |
| `kegg_id` | KEGG ID |
| `chebi_id` | ChEBI ID |
| `metacyc_id` | MetaCyc ID |
| `molfile` | MOL file structure |
| `png` | PNG image of structure |
### Example Requests
```bash
# Get all compound data by PubChem CID
curl "https://www.metabolomicsworkbench.org/rest/compound/pubchem_cid/5281365/all/json"
# Get compound name by registry number
curl "https://www.metabolomicsworkbench.org/rest/compound/regno/11/name/json"
# Download structure as PNG
curl "https://www.metabolomicsworkbench.org/rest/compound/regno/11/png" -o structure.png
# Get compound by KEGG ID
curl "https://www.metabolomicsworkbench.org/rest/compound/kegg_id/C00031/all/json"
# Get compound by molecular formula
curl "https://www.metabolomicsworkbench.org/rest/compound/formula/C6H12O6/all/json"
```
## Context 2: Study
Access metabolomics research study metadata and experimental results.
### Input Items
| Input Item | Description | Example |
|------------|-------------|---------|
| `study_id` | Study identifier | ST000001 |
| `analysis_id` | Analysis identifier | AN000001 |
| `study_title` | Keywords in study title | diabetes |
| `institute` | Institute name | UCSD |
| `last_name` | Investigator last name | Smith |
| `metabolite_id` | Metabolite registry number | 11 |
| `refmet_name` | RefMet standardized name | Glucose |
| `kegg_id` | KEGG compound ID | C00031 |
### Output Items
| Output Item | Description |
|-------------|-------------|
| `summary` | Study overview and metadata |
| `factors` | Experimental factors and design |
| `analysis` | Analysis methods and parameters |
| `metabolites` | List of measured metabolites |
| `data` | Complete experimental data |
| `mwtab` | Complete study in mwTab format |
| `number_of_metabolites` | Count of metabolites measured |
| `species` | Organism species |
| `disease` | Disease studied |
| `source` | Sample source/tissue type |
| `untarg_studies` | Untargeted study information |
| `untarg_factors` | Untargeted study factors |
| `untarg_data` | Untargeted experimental data |
| `datatable` | Formatted data table |
| `available` | List available studies (use with ST as input_value) |
### Example Requests
```bash
# List all publicly available studies
curl "https://www.metabolomicsworkbench.org/rest/study/study_id/ST/available/json"
# Get study summary
curl "https://www.metabolomicsworkbench.org/rest/study/study_id/ST000001/summary/json"
# Get experimental data
curl "https://www.metabolomicsworkbench.org/rest/study/study_id/ST000001/data/json"
# Get study factors
curl "https://www.metabolomicsworkbench.org/rest/study/study_id/ST000001/factors/json"
# Find studies containing a specific metabolite
curl "https://www.metabolomicsworkbench.org/rest/study/refmet_name/Tyrosine/summary/json"
# Search studies by investigator
curl "https://www.metabolomicsworkbench.org/rest/study/last_name/Smith/summary/json"
# Download complete study in mwTab format
curl "https://www.metabolomicsworkbench.org/rest/study/study_id/ST000001/mwtab/txt"
```
## Context 3: RefMet
Query the standardized metabolite nomenclature database with hierarchical classification.
### Input Items
| Input Item | Description | Example |
|------------|-------------|---------|
| `name` | Metabolite name | glucose |
| `inchi_key` | InChI Key | WQZGKKKJIJFFOK-GASJEMHNSA-N |
| `pubchem_cid` | PubChem CID | 5793 |
| `exactmass` | Exact mass | 180.0634 |
| `formula` | Molecular formula | C6H12O6 |
| `super_class` | Super class name | Organic compounds |
| `main_class` | Main class name | Carbohydrates |
| `sub_class` | Sub class name | Monosaccharides |
| `match` | Name matching/standardization | citrate |
| `refmet_id` | RefMet identifier | 12345 |
| `all` | Retrieve all RefMet entries | (no value needed) |
### Output Items
| Output Item | Description |
|-------------|-------------|
| `all` | All available RefMet data |
| `name` | Standardized RefMet name |
| `inchi_key` | InChI Key |
| `pubchem_cid` | PubChem CID |
| `exactmass` | Exact mass |
| `formula` | Molecular formula |
| `sys_name` | Systematic name |
| `super_class` | Super class classification |
| `main_class` | Main class classification |
| `sub_class` | Sub class classification |
| `refmet_id` | RefMet identifier |
### Example Requests
```bash
# Standardize a metabolite name
curl "https://www.metabolomicsworkbench.org/rest/refmet/match/citrate/name/json"
# Get all RefMet data for a metabolite
curl "https://www.metabolomicsworkbench.org/rest/refmet/name/Glucose/all/json"
# Query by molecular formula
curl "https://www.metabolomicsworkbench.org/rest/refmet/formula/C6H12O6/all/json"
# Get all metabolites in a main class
curl "https://www.metabolomicsworkbench.org/rest/refmet/main_class/Fatty%20Acids/all/json"
# Query by exact mass
curl "https://www.metabolomicsworkbench.org/rest/refmet/exactmass/180.0634/all/json"
# Download complete RefMet database
curl "https://www.metabolomicsworkbench.org/rest/refmet/all/json"
```
### RefMet Classification Hierarchy
RefMet provides four-level structural resolution:
1. **Super Class**: Broadest categorization (e.g., "Organic compounds", "Lipids")
2. **Main Class**: Major biochemical categories (e.g., "Fatty Acids", "Carbohydrates")
3. **Sub Class**: More specific groupings (e.g., "Monosaccharides", "Amino acids")
4. **Individual Metabolite**: Specific compound with standardized name
## Context 4: MetStat
Filter studies by analytical and biological parameters using semicolon-delimited format.
### Format
```
/metstat/ANALYSIS_TYPE;POLARITY;CHROMATOGRAPHY;SPECIES;SAMPLE_SOURCE;DISEASE;KEGG_ID;REFMET_NAME
```
### Parameters
| Position | Parameter | Options |
|----------|-----------|---------|
| 1 | Analysis Type | LCMS, GCMS, NMR, MS, ICPMS |
| 2 | Polarity | POSITIVE, NEGATIVE |
| 3 | Chromatography | HILIC, RP (Reverse Phase), GC, IC |
| 4 | Species | Human, Mouse, Rat, etc. |
| 5 | Sample Source | Blood, Plasma, Serum, Urine, Liver, etc. |
| 6 | Disease | Diabetes, Cancer, Alzheimer, etc. |
| 7 | KEGG ID | C00031, etc. |
| 8 | RefMet Name | Glucose, Tyrosine, etc. |
**Note**: Use empty positions (consecutive semicolons) to skip parameters. All parameters are optional.
### Example Requests
```bash
# Human blood diabetes studies with LC-MS HILIC positive mode
curl "https://www.metabolomicsworkbench.org/rest/metstat/LCMS;POSITIVE;HILIC;Human;Blood;Diabetes/json"
# All human blood studies containing tyrosine
curl "https://www.metabolomicsworkbench.org/rest/metstat/;;;Human;Blood;;;Tyrosine/json"
# All GC-MS studies regardless of other parameters
curl "https://www.metabolomicsworkbench.org/rest/metstat/GCMS;;;;;;/json"
# Mouse liver studies
curl "https://www.metabolomicsworkbench.org/rest/metstat/;;;Mouse;Liver;;/json"
# All studies measuring glucose
curl "https://www.metabolomicsworkbench.org/rest/metstat/;;;;;;;Glucose/json"
```
## Context 5: Moverz
Perform mass spectrometry precursor ion searches by m/z value.
### Format for m/z Search
```
/moverz/DATABASE/mass/adduct/tolerance/format
```
- **DATABASE**: MB (Metabolomics Workbench), LIPIDS, REFMET
- **mass**: m/z value (e.g., 635.52)
- **adduct**: Ion adduct type (see table below)
- **tolerance**: Mass tolerance in Daltons (e.g., 0.5)
- **format**: json or txt
### Format for Exact Mass Calculation
```
/moverz/exactmass/metabolite_name/adduct/format
```
### Ion Adduct Types
#### Positive Mode Adducts
| Adduct | Description | Example Use |
|--------|-------------|-------------|
| `M+H` | Protonated molecule | Most common positive ESI |
| `M+Na` | Sodium adduct | Common in ESI |
| `M+K` | Potassium adduct | Less common ESI |
| `M+NH4` | Ammonium adduct | Common with ammonium salts |
| `M+2H` | Doubly protonated | Multiply charged ions |
| `M+H-H2O` | Dehydrated protonated | Loss of water |
| `M+2Na-H` | Disodium minus hydrogen | Multiple sodium |
| `M+CH3OH+H` | Methanol adduct | Methanol in mobile phase |
| `M+ACN+H` | Acetonitrile adduct | ACN in mobile phase |
| `M+ACN+Na` | ACN + sodium | ACN and sodium |
#### Negative Mode Adducts
| Adduct | Description | Example Use |
|--------|-------------|-------------|
| `M-H` | Deprotonated molecule | Most common negative ESI |
| `M+Cl` | Chloride adduct | Chlorinated mobile phases |
| `M+FA-H` | Formate adduct | Formic acid in mobile phase |
| `M+HAc-H` | Acetate adduct | Acetic acid in mobile phase |
| `M-H-H2O` | Deprotonated minus water | Water loss |
| `M-2H` | Doubly deprotonated | Multiply charged ions |
| `M+Na-2H` | Sodium minus two protons | Mixed charge states |
#### Uncharged
| Adduct | Description |
|--------|-------------|
| `M` | Uncharged molecule | Direct ionization methods |
### Example Requests
```bash
# Search for compounds with m/z 635.52 (M+H) in MB database
curl "https://www.metabolomicsworkbench.org/rest/moverz/MB/635.52/M+H/0.5/json"
# Search in RefMet with negative mode
curl "https://www.metabolomicsworkbench.org/rest/moverz/REFMET/200.15/M-H/0.3/json"
# Search lipids database
curl "https://www.metabolomicsworkbench.org/rest/moverz/LIPIDS/760.59/M+Na/0.5/json"
# Calculate exact mass for known metabolite
curl "https://www.metabolomicsworkbench.org/rest/moverz/exactmass/PC(34:1)/M+H/json"
# High-resolution MS search (tight tolerance)
curl "https://www.metabolomicsworkbench.org/rest/moverz/MB/180.0634/M+H/0.01/json"
```
## Context 6: Gene
Access gene information from the Metabolome Gene/Protein (MGP) database.
### Input Items
| Input Item | Description | Example |
|------------|-------------|---------|
| `mgp_id` | MGP database ID | MGP001 |
| `gene_id` | NCBI Gene ID | 31 |
| `gene_name` | Full gene name | acetyl-CoA carboxylase |
| `gene_symbol` | Gene symbol | ACACA |
| `taxid` | Taxonomy ID | 9606 (human) |
### Output Items
| Output Item | Description |
|-------------|-------------|
| `all` | All gene information |
| `mgp_id` | MGP identifier |
| `gene_id` | NCBI Gene ID |
| `gene_name` | Full gene name |
| `gene_symbol` | Gene symbol |
| `gene_synonyms` | Alternative names |
| `alt_names` | Alternative nomenclature |
| `chromosome` | Chromosomal location |
| `map_location` | Genetic map position |
| `summary` | Gene description |
| `taxid` | Taxonomy ID |
| `species` | Species short name |
| `species_long` | Full species name |
### Example Requests
```bash
# Get gene information by symbol
curl "https://www.metabolomicsworkbench.org/rest/gene/gene_symbol/ACACA/all/json"
# Get gene by NCBI Gene ID
curl "https://www.metabolomicsworkbench.org/rest/gene/gene_id/31/all/json"
# Search by gene name
curl "https://www.metabolomicsworkbench.org/rest/gene/gene_name/carboxylase/summary/json"
```
## Context 7: Protein
Retrieve protein sequence and annotation data.
### Input Items
| Input Item | Description | Example |
|------------|-------------|---------|
| `mgp_id` | MGP database ID | MGP001 |
| `gene_id` | NCBI Gene ID | 31 |
| `gene_name` | Gene name | acetyl-CoA carboxylase |
| `gene_symbol` | Gene symbol | ACACA |
| `taxid` | Taxonomy ID | 9606 |
| `mrna_id` | mRNA identifier | NM_001093.3 |
| `refseq_id` | RefSeq ID | NP_001084 |
| `protein_gi` | GenInfo Identifier | 4557237 |
| `uniprot_id` | UniProt ID | Q13085 |
| `protein_entry` | Protein entry name | ACACA_HUMAN |
| `protein_name` | Protein name | Acetyl-CoA carboxylase |
### Output Items
| Output Item | Description |
|-------------|-------------|
| `all` | All protein information |
| `mgp_id` | MGP identifier |
| `gene_id` | NCBI Gene ID |
| `gene_name` | Gene name |
| `gene_symbol` | Gene symbol |
| `taxid` | Taxonomy ID |
| `species` | Species short name |
| `species_long` | Full species name |
| `mrna_id` | mRNA identifier |
| `refseq_id` | RefSeq protein ID |
| `protein_gi` | GenInfo Identifier |
| `uniprot_id` | UniProt accession |
| `protein_entry` | Protein entry name |
| `protein_name` | Full protein name |
| `seqlength` | Sequence length |
| `seq` | Amino acid sequence |
| `is_identical_to` | Identical sequences |
### Example Requests
```bash
# Get protein information by UniProt ID
curl "https://www.metabolomicsworkbench.org/rest/protein/uniprot_id/Q13085/all/json"
# Get protein by gene symbol
curl "https://www.metabolomicsworkbench.org/rest/protein/gene_symbol/ACACA/all/json"
# Get protein sequence
curl "https://www.metabolomicsworkbench.org/rest/protein/uniprot_id/Q13085/seq/json"
# Search by RefSeq ID
curl "https://www.metabolomicsworkbench.org/rest/protein/refseq_id/NP_001084/all/json"
```
## Error Handling
The API returns appropriate HTTP status codes:
- **200 OK**: Successful request
- **400 Bad Request**: Invalid parameters or malformed request
- **404 Not Found**: Resource not found
- **500 Internal Server Error**: Server-side error
When no results are found, the API typically returns an empty array or object rather than an error code.
## Rate Limiting
As of 2025, the Metabolomics Workbench REST API does not enforce strict rate limits for reasonable use. However, best practices include:
- Implementing delays between bulk requests
- Caching frequently accessed reference data
- Using appropriate batch sizes for large-scale queries
## Additional Resources
- **Interactive REST URL Creator**: https://www.metabolomicsworkbench.org/tools/mw_rest.php
- **Official API Specification**: https://www.metabolomicsworkbench.org/tools/MWRestAPIv1.1.pdf
- **Python Library**: mwtab package for Python users
- **R Package**: metabolomicsWorkbenchR (Bioconductor)
- **Julia Package**: MetabolomicsWorkbenchAPI.jl
## Python Example: Complete Workflow
```python
import requests
import json
# 1. Standardize metabolite name using RefMet
metabolite = "citrate"
response = requests.get(f'https://www.metabolomicsworkbench.org/rest/refmet/match/{metabolite}/name/json')
standardized_name = response.json()['name']
# 2. Search for studies containing this metabolite
response = requests.get(f'https://www.metabolomicsworkbench.org/rest/study/refmet_name/{standardized_name}/summary/json')
studies = response.json()
# 3. Get detailed data from a specific study
study_id = studies[0]['study_id']
response = requests.get(f'https://www.metabolomicsworkbench.org/rest/study/study_id/{study_id}/data/json')
data = response.json()
# 4. Perform m/z search for compound identification
mz_value = 180.06
response = requests.get(f'https://www.metabolomicsworkbench.org/rest/moverz/MB/{mz_value}/M+H/0.5/json')
matches = response.json()
# 5. Get compound structure
regno = matches[0]['regno']
response = requests.get(f'https://www.metabolomicsworkbench.org/rest/compound/regno/{regno}/png')
with open('structure.png', 'wb') as f:
f.write(response.content)
```