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Skill v1.0.1
currentAutomated scan100/100internscience/scp/protein-classification-analysis
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version: "1.0.1" name: protein_classification_analysis description: "Protein Classification Analysis - Classify protein: ChEMBL protein classification, UniProt entry, InterPro domains, and Ensembl biotypes. Use this skill for protein science tasks involving search protein classification get uniprotkb entry by accession query interpro get info biotypes. Combines 4 tools from 4 SCP server(s)."
Protein Classification Analysis
Discipline: Protein Science | Tools Used: 4 | Servers: 4
Description
Classify protein: ChEMBL protein classification, UniProt entry, InterPro domains, and Ensembl biotypes.
Tools Used
- `search_protein_classification` from
chembl-server(streamable-http) -https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL - `get_uniprotkb_entry_by_accession` from
uniprot-server(streamable-http) -https://scp.intern-ai.org.cn/api/v1/mcp/10/Origene-UniProt - `query_interpro` from
server-1(sse) -https://scp.intern-ai.org.cn/api/v1/mcp/1/VenusFactory - `get_info_biotypes` from
ensembl-server(streamable-http) -https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl
Workflow
- Search ChEMBL protein classification
- Get UniProt entry
- Get InterPro domains
- Get Ensembl biotypes
Test Case
Input
json
{"protein": "kinase","accession": "P04637","species": "homo_sapiens"}
Expected Steps
- Search ChEMBL protein classification
- Get UniProt entry
- Get InterPro domains
- Get Ensembl biotypes
Usage Example
Note: Replace<YOUR_SCP_HUB_API_KEY>with your own SCP Hub API Key. You can obtain one from the SCP Platform.
python
import asyncioimport jsonfrom mcp import ClientSessionfrom mcp.client.streamable_http import streamablehttp_clientfrom mcp.client.sse import sse_clientSERVERS = {"chembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL","uniprot-server": "https://scp.intern-ai.org.cn/api/v1/mcp/10/Origene-UniProt","server-1": "https://scp.intern-ai.org.cn/api/v1/mcp/1/VenusFactory","ensembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl"}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, transportdef 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.textreturn str(result)except: return str(result)async def main():# Connect to required serverssessions = {}sessions["chembl-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/4/Origene-ChEMBL", "streamable-http")sessions["uniprot-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/10/Origene-UniProt", "streamable-http")sessions["server-1"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/1/VenusFactory", "sse")sessions["ensembl-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl", "streamable-http")# Execute workflow steps# Step 1: Search ChEMBL protein classificationresult_1 = await sessions["chembl-server"].call_tool("search_protein_classification", arguments={})data_1 = parse(result_1)print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")# Step 2: Get UniProt entryresult_2 = await sessions["uniprot-server"].call_tool("get_uniprotkb_entry_by_accession", arguments={})data_2 = parse(result_2)print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")# Step 3: Get InterPro domainsresult_3 = await sessions["server-1"].call_tool("query_interpro", arguments={})data_3 = parse(result_3)print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")# Step 4: Get Ensembl biotypesresult_4 = await sessions["ensembl-server"].call_tool("get_info_biotypes", arguments={})data_4 = parse(result_4)print(f"Step 4 result: {json.dumps(data_4, indent=2, ensure_ascii=False)[:500]}")# Cleanupprint("Workflow complete!")if __name__ == "__main__":asyncio.run(main())