Files

216 lines
5.7 KiB
Markdown

---
title: "ZINC Database API"
task: ""
lineage_type: import
upstream_source: https://github.com/K-Dense-AI/scientific-agent-skills/blob/9c9bd2e9/skills/database-lookup/references/zinc.md
upstream_sha: 9c9bd2e9
imported_at: 2026-06-26
prompt_class: prompt
upstream_changes: accepted
author: upstream
validated: false
---
# ZINC Database API
## Base URL
```
https://zinc.docking.org
```
## Auth
No API key required. Fully open public API.
## URL Pattern
Resources follow a uniform pattern with format specified by file extension:
```
/{resource}.{format}
/{resource}/{id}.{format}
/{resource}/subsets/{subset}.{format}
```
Supported formats: `.json`, `.csv`, `.txt`, `.smi`, `.sdf`, `.mol2`, `.xml`, `.png`
Field selection (return only specific fields):
```
/{resource}.json:field1+field2+field3
```
## Key Endpoints
### Substance lookup by ZINC ID
```
GET /substances/ZINC000000000053.json
```
### Search by name
```
GET /substances.json?preferred_name=aspirin
```
### Search by InChIKey
```
GET /substances.json?inchikey=BSYNRYMUTXBXSQ-UHFFFAOYSA-N
```
### Search by molecular formula
```
GET /substances.json?mol_formula=C9H8O4
```
### Substructure search (SMILES)
```
GET /substances.json?sub_id-matches=c1ccccc1&count=10
```
### Substructure search (SMARTS)
```
GET /substances.json?sub_id-matches-sma=[ND1]&count=10
```
### Similarity search (Tanimoto, ECFP4 fingerprints)
The threshold (e.g., 40 = 40%) is part of the parameter name. Value can be SMILES or a ZINC ID number.
```
GET /substances/?ecfp4_fp-tanimoto-40=c1ccccc1O
GET /substances/?ecfp4_fp-tanimoto-70=ZINC000000000053
```
### Browse subsets
Filter by purchasability, drug status, reactivity, or origin:
```
GET /substances/subsets/fda.json # FDA-approved drugs
GET /substances/subsets/in-stock.json # In-stock compounds
GET /substances/subsets/metabolites.json # Metabolites
GET /substances/subsets/fda+in-stock.json # Combine subsets with +
```
Key subsets:
- **Purchasability**: `in-stock`, `on-demand`, `for-sale`, `bb` (building blocks)
- **Drug status**: `fda`, `world`, `in-trials`, `in-man`, `in-vivo`, `in-vitro`
- **Origin**: `biogenic`, `metabolites`, `natural-products`, `endogenous`
- **Reactivity**: `anodyne`, `clean`, `standard`, `reactive`
### Substances for a gene target
```
GET /genes/ACHE/substances.json?count=10
```
### Catalogs
```
GET /catalogs.json # List all vendor catalogs
GET /catalogs/cmcd/substances.json # Substances in a catalog
```
### 2D structure image (300x300 PNG)
```
GET /substances/ZINC000000000053.png
```
### Molecule format conversion
```
GET /apps/mol/convert?from=CC(=O)Oc1ccccc1C(=O)O&to=inchikey
```
Returns the InChIKey as plain text. Supports conversions between SMILES, InChI, and InChIKey.
### Batch resolution (POST)
Resolve multiple names, ZINC IDs, or SMILES at once:
```
POST /substances/resolved/
Content-Type: application/x-www-form-urlencoded
paste=aspirin%0Aibuprofen%0AZINC000000000053&identifiers=y&structures=y&names=y&output_format=json
```
## Query Parameters
### Pagination
- `count=N` — results per page (use `count=all` cautiously on large sets)
- `page=N` — page number (1-indexed)
### Sorting
- `sort=mwt` — ascending by field
- `sort=-mwt` — descending (prefix with `-`)
- `sort=no` — disable sorting for faster bulk queries
### Property filters (comparison operators)
- `mwt-le=500` — molecular weight <= 500
- `logp-ge=2` — LogP >= 2
- `hbd-le=5` — H-bond donors <= 5
- Operators: `-le` (<=), `-ge` (>=), `-lt` (<), `-gt` (>), `-eq` (=)
### Searchable substance attributes
Molecular properties: `mwt`, `logp`, `hba`, `hbd`, `tpsa`, `rb` (rotatable bonds), `num_rings`, `num_aromatic_rings`, `num_heavy_atoms`, `num_chiral_centers`, `fractioncsp3`
Identifiers: `zinc_id`, `smiles`, `inchikey`, `mol_formula`, `preferred_name`, `cas_numbers`
Status: `purchasable`, `reactive`, `bb` (building block)
## Example Calls
### Get properties for a compound
```
GET /substances/ZINC000000000053.json:zinc_id+smiles+mwt+logp+hba+hbd+tpsa+mol_formula+preferred_name
```
### FDA drugs sorted by molecular weight
```
GET /substances/subsets/fda.json:zinc_id+preferred_name+mwt?sort=mwt&count=10
```
### Drug-like compounds (Lipinski filters)
```
GET /substances/subsets/for-sale.json?mwt-le=500&logp-le=5&hbd-le=5&hba-le=10&count=20
```
### Find compounds targeting a specific gene
```
GET /genes/EGFR/substances.json:zinc_id+preferred_name+smiles?count=10
```
## Response Format
```json
[
{
"zinc_id": "ZINC000000000053",
"smiles": "CC(=O)Oc1ccccc1C(=O)O",
"preferred_name": "aspirin",
"mwt": 180.159,
"logp": 1.31,
"hba": 3,
"hbd": 1,
"tpsa": 63,
"mol_formula": "C9H8O4",
"inchikey": "BSYNRYMUTXBXSQ-UHFFFAOYSA-N",
"purchasable": 5
}
]
```
Responses are JSON arrays. Single-record lookups (by ZINC ID) return a JSON object.
## Rate Limits
No documented rate limits. The API is publicly funded (NIH NIGMS GM71896). Be respectful:
- Use `count=` to limit result sizes
- Use `sort=no` for faster bulk queries
- Similarity and substructure searches are computationally expensive — expect slower responses
- Avoid `count=all` on large result sets
## Special Notes
- ZINC contains **2+ billion** commercially available compounds — always use `count=` to limit results
- ZINC IDs have the format `ZINC000000000053` (15-digit zero-padded after "ZINC")
- The `.smi` format returns SMILES strings, useful for cheminformatics pipelines
- The `.sdf` format returns 3D structures suitable for docking software
- Subsets can be combined with `+` (e.g., `fda+in-stock` = FDA-approved AND in-stock)
- For virtual screening workflows, use tranches (`/tranches/`) to partition by molecular weight and LogP