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pdb

pdb

github.com/adaptyvbioData & databases17246 installsUpdated 20w ago
Repository

About pdb

PDB Database Access is a skill for researchers and protein designers working with structures in the RCSB PDB. It covers structure retrieval, search, preparation, and basic analysis using HTTP requests and BioPython.

Key features

  1. 01Fetch PDB and mmCIF structures
  2. 02Search by text or sequence similarity
  3. 03Select chains and trim binding regions
  4. 04Inspect chains and residue counts
  5. 05Identify residues at chain interfaces

Use cases

  1. 01Retrieve a structure by PDB ID
  2. 02Find structures related to a protein sequence
  3. 03Prepare a target structure for binder design

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/adaptyvbio/protein-design-skills --skill pdb

After installing, type/pdbin Claude Code to confirm it loaded.

Details

From the project README

PDB Database Access

Note: This skill uses the RCSB PDB web API directly. No Modal deployment needed - all operations run locally via HTTP requests.

Fetching Structures

By PDB ID
# Download PDB file
curl -o 1alu.pdb "https://files.rcsb.org/download/1ALU.pdb"

# Download mmCIF
curl -o 1alu.cif "https://files.rcsb.org/download/1ALU.cif"
Using Python
from Bio.PDB import PDBList

pdbl = PDBList()
pdbl.retrieve_pdb_file("1ABC", pdir="structures/", file_format="pdb")
Using RCSB API
import requests

def fetch_pdb(pdb_id: str, format: str = "pdb") -> str:
    """Fetch structure from RCSB PDB."""
    url = f"https://files.rcsb.org/download/{pdb_id}.{format}"
    response = requests.get(url)
    response.raise_for_status()
    return response.text

def fetch_fasta(pdb_id: str) -> str:
    """Fetch sequence in FASTA format."""
    url = f"https://www.rcsb.org/fasta/entry/{pdb_id}"
    return requests.get(url).text

# Example usage
pdb_content = fetch_pdb("1ALU")
with open("1ALU.pdb", "w") as f:
    f.write(pdb_content)

Structure Preparation

Selecting Chains
from Bio.PDB import PDBParser, PDBIO, Select

class ChainSelect(Select):
    def __init__(self, chain_id):
        self.chain_id = chain_id

    def accept_chain(self, chain):
        return chain.id == self.chain_id

# Extract chain A
parser = PDBParser()
structure = parser.get_structure("protein", "1abc.pdb")
io = PDBIO()
io.set_structure(structure)
io.save("chain_A.pdb", ChainSelect("A"))
Trimming to Binding Region
def trim_around_residues(pdb_file, center_residues, buffer=10.0):
    """Trim structure to region around specified residues."""
    parser = PDBParser()
    structure = parser.get_structure("protein", pdb_file)

    # Get center coordinates
    center_coords = []
    for res in structure.get_residues():
        if res.id[1] in center_residues:
            center_coords.extend([a.coord for a in res.get_atoms()])

    center = np.mean(center_coords, axis=0)

    # Keep residues within buffer
    class RegionSelect(Select):
        def accept_residue(self, res):
            for atom in res.get_atoms():
                if np.linalg.norm(atom.coord - center) < buffer:
                    return True
            return False

    io = PDBIO()
    io.set_structure(structure)
    io.save("trimmed.pdb", RegionSelect())

Searching PDB

RCSB Search API
import requests

query = {
    "query": {
        "type": "terminal",
        "service": "full_text",
        "parameters": {
            "value": "EGFR kinase domain"
        }
    },
    "return_type": "entry"
}

response = requests.post(
    "https://search.rcsb.org/rcsbsearch/v2/query",
    json=query
)
results = response.json()
By Sequence Similarity
query = {
    "query": {
        "type": "terminal",
        "service": "sequence",
        "parameters": {
            "value": "MKTAYIAKQRQISFVK...",
            "evalue_cutoff": 1e-10,
            "identity_cutoff": 0.9
        }
    }
}

Structure Analysis

Get Chain Info
def get_structure_info(pdb_file):
    parser = PDBParser(QUIET=True)
    structure = parser.get_structure("protein", pdb_file)

    info = {
        "chains": [],
        "total_residues": 0
    }

    for model in structure:
        for chain in model:
            residues = list(chain.get_residues())
            info["chains"].append({
                "id": chain.id,
                "length": len(residues),
                "first_res": residues[0].id[1],
                "last_res": residues[-1].id[1]
            })
            info["total_residues"] += len(residues)

    return info
Find Interface Residues
def find_interface_residues(pdb_file, chain_a, chain_b, distance=4.0):
    """Find residues at interface between two chains."""
    parser = PDBParser(QUIET=True)
    structure = parser.get_structure("complex", pdb_file)

    interface_a = set()
    interface_b = set()

    for res_a in structure[0][chain_a].get_residues():
        for res_b in structure[0][chain_b].get_residues():
            for atom_a in res_a.get_atoms():
                for atom_b in res_b.get_atoms():
                    if atom_a - atom_b < distance:
                        interface_a.add(res_a.id[1])
                        interface_b.add(res_b.id[1])

    return interface_a, interface_b

Common Tasks for Binder Design

Target Preparation Checklist
  1. Download structure: curl -o target.pdb "https://files.rcsb.org/download/XXXX.pdb"
  2. Identify target chain
  3. Remove waters and ligands (if needed)
  4. Trim to binding region + buffer
  5. Identify potential hotspots
  6. Renumber if needed

Troubleshooting

Structure not found: Check PDB ID format (4 characters) Multiple models: Select first model for design Missing residues: Check for gaps in structure


Next: Use structure with boltzgen (recommended) or rfdiffusion for design.

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