| name | lead_compound_optimization |
| description | Lead Compound Optimization - Optimize a lead compound: validate SMILES, compute drug-likeness, predict ADMET properties, and check ChEMBL bioactivity. Use this skill for medicinal chemistry tasks involving is valid smiles calculate mol drug chemistry pred molecule admet search activity. Combines 4 tools from 3 SCP server(s). |
| i18n | {"zh":{"description":"优化先导化合物:验证SMILE。"}} |
Lead Compound Optimization
Discipline: Medicinal Chemistry | Tools Used: 4 | Servers: 3
Description
Optimize a lead compound: validate SMILES, compute drug-likeness, predict ADMET properties, and check ChEMBL bioactivity.
Tools Used
is_valid_smiles from server-2 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool
calculate_mol_drug_chemistry from server-2 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool
pred_molecule_admet from server-3 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/3/DrugSDA-Model
search_activity from chembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL
Workflow
- Validate SMILES
- Calculate drug-likeness metrics
- Predict ADMET
- Search ChEMBL bioactivity
Test Case
Input
{
"smiles": "CC(=O)Oc1ccccc1C(=O)O"
}
Expected Steps
- Validate SMILES
- Calculate drug-likeness metrics
- Predict ADMET
- Search ChEMBL bioactivity
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 = {
"server-2": "https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool",
"server-3": "https://scp.intern-ai.org.cn/api/v1/mcp/3/DrugSDA-Model",
"chembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL"
}
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())