interproscan-domain-analysis
ResearchAnalyze protein sequences using InterProScan to identify functional domains, protein families, and Gene Ontology (GO) annotations.
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InterProScan Protein Domain Analysis
Usage
1. MCP Server Definition
Use the same BioInfoToolsClient class as defined in the protein-blast-search skill.
2. InterProScan Domain Analysis Workflow
This workflow analyzes protein sequences using InterProScan to identify functional domains, protein families, binding sites, and associated Gene Ontology annotations.
Workflow Steps:
- Validate Sequence - Check protein sequence format and length
- Run InterProScan - Identify domains using multiple signature databases
- Extract Annotations - Parse domain locations, families, and GO terms
Implementation:
from datetime import timedelta
## Initialize client
client = BioInfoToolsClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/17/BioInfo-Tools",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Input: Protein sequence to analyze
protein_sequence = """
MVHLTPEEKSAVTALWGKVNVDEVGGEALGRLLVVYPWTQRFFESFGDLSTPDAVMGNPKVKAHGKKVLGAFSDGLAHLDNLKGTFATLSELHCDKLHVDPENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKYH
"""
## Step 1 & 2: Run InterProScan analysis
result = await client.session.call_tool(
"interproscan_analyze",
arguments={
"sequence": protein_sequence.strip(),
"sequence_id": "HBB_HUMAN", # Optional identifier
"databases": ["Pfam"], # Signature databases to use
"goterms": True # Include GO term annotations
},
read_timeout_seconds=timedelta(seconds=900) # Allow up to 15 minutes
)
## Step 3: Parse and display results
result_data = client.parse_result(result)
if result_data.get("success"):
results = result_data.get("results", {})
domains = results.get("domains", [])
go_terms = results.get("go_terms", [])
print(f"✅ InterProScan analysis completed successfully")
print(f"Execution time: {result_data.get('time_seconds', '?')} seconds")
print(f"Domains found: {len(domains)}")
print(f"GO annotations: {len(go_terms)}\n")
# Display domain information
if domains:
print("=== Functional Domains ===\n")
for i, domain in enumerate(domains, 1):
print(f"{i}. {domain.get('name', 'N/A')}")
print(f" Accession: {domain.get('accession', 'N/A')}")
print(f" Database: {domain.get('database', 'N/A')}")
if domain.get('description'):
print(f" Description: {domain.get('description')}")
# Display domain locations
locations = domain.get('locations', [])
if locations:
print(f" Locations:")
for loc in locations:
print(f" - Position {loc.get('start')}-{loc.get('end')} aa")
if loc.get('score'):
print(f" Score: {loc.get('score')}")
print()
# Display GO annotations
if go_terms:
print("=== Gene Ontology Annotations ===\n")
# Group by category
by_category = {}
for go in go_terms:
category = go.get('category', 'UNKNOWN')
if category not in by_category:
by_category[category] = []
by_category[category].append(go)
for category, terms in by_category.items():
print(f"{category}:")
for go in terms:
print(f" - {go.get('id', 'N/A')}: {go.get('name', 'N/A')}")
print()
else:
print(f"❌ InterProScan analysis failed: {result_data.get('error', 'Unknown error')}")
await client.disconnect()
Tool Descriptions
BioInfo-Tools Server:
interproscan_analyze: Analyze protein sequence using InterProScan- Args:
sequence(str): Protein sequence in amino acid single-letter codesequence_id(str, optional): Identifier for the query sequencedatabases(list, optional): Signature databases to query (default: ["Pfam"])goterms(bool, optional): Include GO term annotations (default: True)
- Returns:
success(bool): Whether analysis completed successfullyresults(dict): Analysis results containing domains and GO termstime_seconds(float): Execution time
- Args:
Input/Output
Input:
sequence: Protein sequence (amino acid single-letter code)sequence_id: Optional identifier for the querydatabases: List of signature databases (e.g., ["Pfam", "SMART", "PRINTS"])goterms: Whether to include Gene Ontology annotations
Output:
domains: List of identified protein domains, each containing:name: Domain or family nameaccession: Database accession numberdatabase: Source database (e.g., "PFAM", "SMART")description: Functional descriptionlocations: List of domain positions in the sequencestart: Start position (amino acid number)end: End position (amino acid number)score: Match score (if available)
go_terms: List of GO annotations, each containing:id: GO identifier (e.g., "GO:0020037")name: GO term namecategory: GO category (MOLECULAR_FUNCTION, BIOLOGICAL_PROCESS, or CELLULAR_COMPONENT)
Available Signature Databases
InterProScan integrates multiple signature databases:
- Pfam: Protein families based on HMMs
- SMART: Simple Modular Architecture Research Tool
- PRINTS: Protein fingerprints
- ProSite: Protein domains, families, and functional sites
- SUPERFAMILY: Structural and functional annotation
- And more...
Default: ["Pfam"] for fastest results
Performance Notes
- Typical execution time:
- Short sequences (~150 aa): 30-60 seconds
- Medium sequences (~400 aa): 2-4 minutes
- Long sequences (~800+ aa): 5-15 minutes
- Timeout recommendation: Set to at least 900 seconds (15 minutes)
- Multiple databases: Using more databases increases execution time but provides comprehensive annotation
Use Cases
- Identify functional domains in novel protein sequences
- Predict protein function from domain composition
- Locate active sites and binding regions
- Annotate protein families and superfamilies
- Obtain GO term annotations for functional analysis
- Compare domain architecture across homologous proteins
GO Term Categories
- MOLECULAR_FUNCTION: Molecular-level activities (e.g., "heme binding", "catalytic activity")
- BIOLOGICAL_PROCESS: Biological pathways and processes (e.g., "oxygen transport", "signal transduction")
- CELLULAR_COMPONENT: Cellular locations (e.g., "cytoplasm", "membrane")