| name | polypharmacology_analysis |
| description | Polypharmacology Analysis - Analyze a drug's multi-target pharmacology: get targets from ChEMBL, functional enrichment from STRING, and pathway links from KEGG. Use this skill for pharmacology tasks involving get target by name get functional enrichment kegg link get mechanism by id. Combines 4 tools from 3 SCP server(s). |
Polypharmacology Analysis
Discipline: Pharmacology | Tools Used: 4 | Servers: 3
Description
Analyze a drug's multi-target pharmacology: get targets from ChEMBL, functional enrichment from STRING, and pathway links from KEGG.
Tools Used
get_target_by_name from chembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL
get_functional_enrichment from string-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/6/Origene-STRING
kegg_link from kegg-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/5/Origene-KEGG
get_mechanism_by_id from chembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL
Workflow
- Get drug targets from ChEMBL
- Run functional enrichment on targets
- Link to KEGG pathways
- Get mechanism details
Test Case
Input
{
"drug_name": "imatinib"
}
Expected Steps
- Get drug targets from ChEMBL
- Run functional enrichment on targets
- Link to KEGG pathways
- Get mechanism details
Usage Example
Note: Replace sk-b04409a1-b32b-4511-9aeb-22980abdc05c with your own SCP Hub API Key. You can obtain one from the SCP Platform.
import asyncio
import json
from contextlib import AsyncExitStack
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client
SERVERS = {
"chembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL",
"string-server": "https://scp.intern-ai.org.cn/api/v1/mcp/6/Origene-STRING",
"kegg-server": "https://scp.intern-ai.org.cn/api/v1/mcp/5/Origene-KEGG"
}
async def connect(url, stack):
transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "sk-b04409a1-b32b-4511-9aeb-22980abdc05c"})
read, write, _ = await stack.enter_async_context(transport)
ctx = ClientSession(read, write)
session = await stack.enter_async_context(ctx)
await session.initialize()
return session
def parse(result):
try:
if hasattr(result, 'content') and result.content:
c = result.content[0]
if hasattr(c, 'text'):
try: return json.loads(c.text)
except: return c.text
return str(result)
: (result)
():
AsyncExitStack() stack:
sessions = {}
sessions[] = connect(, stack)
sessions[] = connect(, stack)
sessions[] = connect(, stack)
result_1 = sessions[].call_tool(, arguments={})
data_1 = parse(result_1)
()
result_2 = sessions[].call_tool(, arguments={})
data_2 = parse(result_2)
()
result_3 = sessions[].call_tool(, arguments={})
data_3 = parse(result_3)
()
result_4 = sessions[].call_tool(, arguments={})
data_4 = parse(result_4)
()
()
__name__ == :
asyncio.run(main())