| name | bioassay_analysis |
| description | Bioassay Data Analysis - Analyze bioassay data: PubChem assay summary, ChEMBL activity search, compound properties, and target info. Use this skill for bioassay science tasks involving get assay summary by cid search activity calculate mol basic info get target by name. Combines 4 tools from 3 SCP server(s). |
| i18n | {"zh":{"description":"生物测定数据分析。"}} |
Bioassay Data Analysis
Discipline: Bioassay Science | Tools Used: 4 | Servers: 3
Description
Analyze bioassay data: PubChem assay summary, ChEMBL activity search, compound properties, and target info.
Tools Used
get_assay_summary_by_cid from pubchem-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem
search_activity from chembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL
calculate_mol_basic_info from server-2 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool
get_target_by_name from chembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL
Workflow
- Get PubChem bioassay summary
- Search ChEMBL activities
- Calculate compound properties
- Get target information
Test Case
Input
{
"cid": 2244,
"target": "cyclooxygenase"
}
Expected Steps
- Get PubChem bioassay summary
- Search ChEMBL activities
- Calculate compound properties
- Get target information
Usage Example
Note: Replace <YOUR_SCP_HUB_API_KEY> with your own SCP Hub API Key. You can obtain one from the SCP Platform.
import asyncio
import json
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client
SERVERS = {
"pubchem-server": "https://scp.intern-ai.org.cn/api/v1/mcp/8/Origene-PubChem",
"chembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL",
"server-2": "https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool"
}
async def connect(url, transport_type):
transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "<YOUR_SCP_HUB_API_KEY>"})
read, write, _ = await transport.__aenter__()
ctx = ClientSession(read, write)
session = await ctx.__aenter__()
await session.initialize()
return session, ctx, transport
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)
except: return str(result)
():
sessions = {}
sessions[], _, _ = connect(, )
sessions[], _, _ = connect(, )
sessions[], _, _ = connect(, )
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())