---

name: pdbe-api description: "Query the PDBe (Protein Data Bank in Europe) REST API and Solr search API from within Coot to access structure metadata, validation data, revision history, and search capabilities"

PDBe API Access from Coot

Overview

The PDBe (Protein Data Bank in Europe) provides comprehensive REST and Solr-based APIs for programmatic access to structure data, validation reports, compound information, revision history, and search capabilities. Coot can access these APIs directly using the coot_get_url_as_string_py() function.

Core Function

coot.coot_get_url_as_string_py(url) - Fetch URL content as string

Copy# Example: Get structure summary
result = coot.coot_get_url_as_string_py("https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/4wa9")

# Parse JSON response
import json
data = json.loads(result)

Main API Endpoints

Entry-based API

Base URL: https://www.ebi.ac.uk/pdbe/api/

Documentation: https://www.ebi.ac.uk/pdbe/api/doc/

Aggregated API

Base URL: https://www.ebi.ac.uk/pdbe/graph-api/

Documentation: https://pdbe.org/graph-api

Search API (Solr)

Base URL: https://www.ebi.ac.uk/pdbe/search/pdb/select?

Documentation: https://www.ebi.ac.uk/pdbe/api/doc/search.html

Common Query Patterns

1. Structure Summary and Metadata

Get basic information about a structure including deposition date, revision date, authors, and experimental method:

Copyimport json

pdb_id = "4wa9"
url = f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/{pdb_id}"
result = coot.coot_get_url_as_string_py(url)
data = json.loads(result)

# Extract key information
entry = data[pdb_id][0]
print(f"Title: {entry['title']}")
print(f"Release date: {entry['release_date']}")
print(f"Revision date: {entry['revision_date']}")
print(f"Method: {entry['experimental_method']}")
print(f"Authors: {entry['entry_authors']}")

Key fields in response:

• title - Structure title
• release_date - Original deposition date (YYYYMMDD)
• revision_date - Most recent revision date (YYYYMMDD)
• experimental_method - List of experimental methods
• entry_authors - List of authors
• number_of_entities - Count of different entity types (protein, ligand, water, etc.)

2. Compound/Ligand Information

Get detailed information about a specific compound including formula, SMILES, InChI, and revision history:

Copyimport json

comp_id = "AXI"  # 3-letter code
url = f"https://www.ebi.ac.uk/pdbe/api/pdb/compound/summary/{comp_id}"
result = coot.coot_get_url_as_string_py(url)
data = json.loads(result)

compound = data[comp_id][0]
print(f"Name: {compound['name']}")
print(f"Formula: {compound['formula']}")
print(f"Weight: {compound['weight']}")
print(f"Creation date: {compound['creation_date']}")
print(f"Revision date: {compound['revision_date']}")
print(f"InChI: {compound['inchi']}")
print(f"SMILES: {compound['smiles'][0]['name']}")

Use case: Check if a ligand definition was recently revised, which might explain geometry changes.

3. Validation Reports

Get residue-wise outliers including clashes, geometry outliers, and density fit issues:

Copyimport json

pdb_id = "4wa9"
url = f"https://www.ebi.ac.uk/pdbe/api/validation/residuewise_outlier_summary/entry/{pdb_id}"
result = coot.coot_get_url_as_string_py(url)

# Note: Response may have multiple JSON objects, parse carefully
# Access specific chain/residue validation data

Available validation endpoints:

• /validation/residuewise_outlier_summary/entry/{pdb_id} - Residue-level outliers
• /validation/rama_sidechain_listing/entry/{pdb_id} - Ramachandran and rotamer outliers
• /validation/global_percentiles/entry/{pdb_id} - Overall quality metrics

4. Structure Status and Revision History

Check if a structure has been superseded or revised:

Copyimport json

pdb_id = "4wa9"
url = f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/status/{pdb_id}"
result = coot.coot_get_url_as_string_py(url)
data = json.loads(result)

status = data[pdb_id][0]
print(f"Status: {status['status_code']}")  # REL = released, OBS = obsolete
print(f"Since: {status['since']}")
print(f"Superseded by: {status['superceded_by']}")
print(f"Obsoletes: {status['obsoletes']}")

5. Ligand Binding Sites

Get information about ligand binding sites and interactions:

Copyimport json

pdb_id = "4wa9"
url = f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/ligand_monomers/{pdb_id}"
result = coot.coot_get_url_as_string_py(url)
data = json.loads(result)

# Access ligand information per chain
for entity in data[pdb_id]:
    print(f"Chain: {entity['chain_id']}")
    for ligand in entity.get('ligands', []):
        print(f"  Ligand: {ligand['chem_comp_id']}")
        print(f"  Residue: {ligand['author_residue_number']}")

6. Assembly Information

Get biological assembly information:

Copyimport json

pdb_id = "2hyy"
url = f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/assembly/{pdb_id}"
result = coot.coot_get_url_as_string_py(url)
data = json.loads(result)

for assembly in data[pdb_id]:
    print(f"Assembly {assembly['assembly_id']}: {assembly['name']}")
    print(f"  Form: {assembly['form']}")
    print(f"  Preferred: {assembly['preferred']}")

Solr Search API

The Solr search API allows complex queries across the entire PDB.

Basic Search Syntax

Copyimport json
import urllib.parse

# Simple search
query = "molecule_name:Dihydrofolate AND organism_scientific_name:Human"
encoded_query = urllib.parse.quote(query)
url = f"https://www.ebi.ac.uk/pdbe/search/pdb/select?q={encoded_query}&wt=json&rows=10"

result = coot.coot_get_url_as_string_py(url)
data = json.loads(result)

# Access results
for doc in data['response']['docs']:
    print(f"PDB ID: {doc['pdb_id']}")
    print(f"Title: {doc.get('title', 'N/A')}")

Common Solr Search Fields

• pdb_id - PDB entry ID
• molecule_name - Molecule name
• organism_scientific_name - Source organism
• experimental_method - Experimental method (e.g., "X-ray diffraction")
• resolution - Structure resolution
• ligand_name - Ligand/compound name
• citation_title - Publication title
• deposition_date - Deposition date
• revision_date - Revision date

Advanced Search Examples

Find structures with specific ligand:

Copyquery = "ligand_name:axitinib"

Find high-resolution kinase structures:

Copyquery = "molecule_name:kinase AND resolution:[0 TO 2.0]"

Find structures revised in 2024:

Copyquery = "revision_date:[20240101 TO 20241231]"

Practical Workflows

Detecting Structure Revisions

Check if a structure has been significantly revised since release:

Copyimport json
from datetime import datetime

def check_structure_revision(pdb_id):
    """Check if structure was revised and when"""
    url = f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/{pdb_id}"
    result = coot.coot_get_url_as_string_py(url)
    data = json.loads(result)
    
    entry = data[pdb_id][0]
    release = entry['release_date']
    revision = entry['revision_date']
    
    # Convert to datetime for comparison
    release_dt = datetime.strptime(release, "%Y%m%d")
    revision_dt = datetime.strptime(revision, "%Y%m%d")
    
    days_diff = (revision_dt - release_dt).days
    years_diff = days_diff / 365.25
    
    print(f"PDB {pdb_id}:")
    print(f"  Released: {release}")
    print(f"  Revised: {revision}")
    print(f"  Time since release: {years_diff:.1f} years")
    
    if days_diff > 30:
        print(f"  WARNING: Structure revised {days_diff} days after release")
        return True
    return False

# Example usage
check_structure_revision("4wa9")

Checking Ligand Revisions

Determine if a ligand definition was updated, which might explain geometry changes:

Copyimport json

def check_ligand_revision(comp_id):
    """Check when a ligand was last revised"""
    url = f"https://www.ebi.ac.uk/pdbe/api/pdb/compound/summary/{comp_id}"
    result = coot.coot_get_url_as_string_py(url)
    data = json.loads(result)
    
    compound = data[comp_id][0]
    print(f"Compound {comp_id} ({compound['name']}):")
    print(f"  Created: {compound['creation_date']}")
    print(f"  Revised: {compound['revision_date']}")
    
    if compound['creation_date'] != compound['revision_date']:
        print(f"  WARNING: Ligand definition was revised")
        return True
    return False

# Example usage
check_ligand_revision("AXI")

Finding Related Structures

Search for structures with the same ligand and protein:

Copyimport json
import urllib.parse

def find_related_structures(protein_name, ligand_name):
    """Find structures containing specific protein-ligand combination"""
    query = f'molecule_name:"{protein_name}" AND ligand_name:"{ligand_name}"'
    encoded = urllib.parse.quote(query)
    url = f"https://www.ebi.ac.uk/pdbe/search/pdb/select?q={encoded}&wt=json&rows=50"
    
    result = coot.coot_get_url_as_string_py(url)
    data = json.loads(result)
    
    print(f"Found {data['response']['numFound']} structures")
    for doc in data['response']['docs']:
        print(f"  {doc['pdb_id']}: {doc.get('title', 'N/A')}")
        print(f"    Resolution: {doc.get('resolution', 'N/A')} Å")

# Example usage
find_related_structures("ABL1", "imatinib")

Error Handling

Always wrap API calls in try/except blocks:

Copyimport json

def safe_pdbe_query(url):
    """Safely query PDBe API with error handling"""
    try:
        result = coot.coot_get_url_as_string_py(url)
        if not result or result == "":
            print(f"Empty response from {url}")
            return None
        
        data = json.loads(result)
        return data
    
    except json.JSONDecodeError as e:
        print(f"JSON parsing error: {e}")
        print(f"Response was: {result[:200]}...")
        return None
    
    except Exception as e:
        print(f"Error querying PDBe API: {e}")
        return None

# Example usage
data = safe_pdbe_query("https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/4wa9")
if data:
    print("Success!")

Common Issues and Solutions

Issue: JSON parsing errors with validation endpoints

Some validation endpoints return multiple JSON objects or malformed responses. Handle carefully:

Copy# Instead of json.loads(), parse line by line or handle errors
try:
    data = json.loads(result)
except json.JSONDecodeError:
    # Try alternative parsing or just display raw result
    print("Could not parse JSON, raw response:")
    print(result[:1000])

Issue: URL encoding for complex queries

Always encode special characters in Solr queries:

Copyimport urllib.parse

query = "molecule_name:\"Protein kinase\" AND resolution:[0 TO 2.0]"
encoded = urllib.parse.quote(query)
url = f"https://www.ebi.ac.uk/pdbe/search/pdb/select?q={encoded}&wt=json"

Issue: Rate limiting

The PDBe API may rate limit excessive requests. Add delays between batch queries:

Copyimport time

pdb_ids = ["4wa9", "2hyy", "1iep"]
for pdb_id in pdb_ids:
    data = safe_pdbe_query(f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/{pdb_id}")
    # Process data...
    time.sleep(0.5)  # Wait 500ms between requests

Quick Reference

Most Useful Endpoints

Common Solr Query Patterns

Integration with Coot Workflows

Example: Automated Structure Quality Check

Copyimport json

def structure_quality_report(imol):
    """Generate quality report using PDBe API data"""
    
    # Get PDB ID from molecule
    pdb_file = coot.molecule_name(imol)
    # Extract PDB ID from filename (assumes format like "pdb4wa9.ent")
    import re
    match = re.search(r'pdb(\w{4})', pdb_file.lower())
    if not match:
        print("Could not extract PDB ID from filename")
        return
    
    pdb_id = match.group(1)
    
    # Get structure info
    url = f"https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/{pdb_id}"
    result = coot.coot_get_url_as_string_py(url)
    data = json.loads(result)
    
    entry = data[pdb_id][0]
    
    print("=" * 60)
    print(f"STRUCTURE QUALITY REPORT: {pdb_id.upper()}")
    print("=" * 60)
    print(f"Title: {entry['title']}")
    print(f"Method: {entry['experimental_method']}")
    print(f"Released: {entry['release_date']}")
    print(f"Revised: {entry['revision_date']}")
    
    # Check for significant revisions
    if entry['revision_date'] != entry['release_date']:
        from datetime import datetime
        release = datetime.strptime(entry['release_date'], "%Y%m%d")
        revision = datetime.strptime(entry['revision_date'], "%Y%m%d")
        days = (revision - release).days
        print(f"\n⚠️  STRUCTURE REVISED {days} days after release")
        print("   Check PDBe for revision details")
    
    print("=" * 60)

# Usage: structure_quality_report(0)

Resources

• PDBe API Documentation: https://www.ebi.ac.uk/pdbe/api/doc/
• Aggregated API: https://pdbe.org/graph-api
• Search API: https://www.ebi.ac.uk/pdbe/api/doc/search.html
• Mailing List: pdbe-api-users@ebi.ac.uk
• GitHub Examples: https://github.com/PDBeurope/pdbe-api-training

Summary

The PDBe API provides rich programmatic access to structure metadata, validation data, and search capabilities. Using coot.coot_get_url_as_string_py(), you can:

1. Check structure and ligand revision history
2. Access validation reports and quality metrics
3. Search for related structures
4. Get compound information and chemical details
5. Verify structure status and supersession
6. Integrate external data into Coot workflows

This enables powerful automated quality checks, structure comparison workflows, and data-driven validation within Coot.