bindingdb_targets_by_smiles
Pack: bindingdb · Endpoint: https://gateway.pipeworx.io/bindingdb/mcp
No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/bindingdb_targets_by_smiles for the schema, then POST the same URL with its arguments for the data.
Given a compound SMILES, the protein targets BindingDB has measured it (or a structurally similar compound) against, with species and affinity. AUTHORITATIVE for compound-to-target and off-target lookups grounded in published measurements. Use a similarity cutoff below 1.0 to pull analogues as well as the exact structure.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
smiles | string | yes | Compound SMILES (e.g. “CC(=O)Oc1ccccc1C(=O)O” for aspirin) |
similarity | number | no | Tanimoto similarity cutoff 0-1 (default 0.85). 1.0 means exact structure only. |
limit | number | no | Max rows to return, 1-500 (default 50) |
Example call
Arguments
{
"smiles": "CC(=O)Oc1ccccc1C(=O)O",
"similarity": 0.85,
"limit": 3
}
curl
curl -X POST https://gateway.pipeworx.io/bindingdb/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"bindingdb_targets_by_smiles","arguments":{"smiles":"CC(=O)Oc1ccccc1C(=O)O","similarity":0.85,"limit":3}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('bindingdb_targets_by_smiles', {
"smiles": "CC(=O)Oc1ccccc1C(=O)O",
"similarity": 0.85,
"limit": 3
});
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"bindingdb": {
"url": "https://gateway.pipeworx.io/bindingdb/mcp"
}
}
}
See Getting Started for client-specific install steps.