pdb-database
Access RCSB PDB for 3D protein/nucleic acid structures.
Skill by beita6969
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pdb-database
What's inside
- Skill name
pdb-database- Description
- Access RCSB PDB for 3D protein/nucleic acid structures. Search by text/sequence/structure, download coordinates (PDB/mmCIF), retrieve metadata, for structural biology and drug discovery.
- License
- MIT
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 301 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (2)
- SKILL.md
- api_reference.md · references/
SKILL.md (first lines)
# PDB Database
## Overview
RCSB PDB is the worldwide repository for 3D structural data of biological macromolecules. Search for structures, retrieve coordinates and metadata, perform sequence and structure similarity searches across 200,000+ experimentally determined structures and computed models.
## When to Use This Skill
This skill should be used when:
- Searching for protein or nucleic acid 3D structures by text, sequence, or structural similarity
- Downloading coordinate files in PDB, mmCIF, or BinaryCIF formats
- Retrieving structural metadata, experimental methods, or quality metrics
- Performing batch operations across multiple structures
- Integrating PDB data into computational workflows for drug discovery, protein engineering, or structural biology research
## Core Capabilities
### 1. Searching for Structures
Find PDB entries using various search criteria:
**Text Search:** Search by protein name, keywords, or descriptions
```python
from rcsbapi.search import TextQuery
query = TextQuery("hemoglobin")
results = list(query())
print(f"Found {len(results)} structures")
```
**Attribute Search:** Query specific properties (organism, resolution, method, etc.)
```python
from rcsbapi.search import AttributeQuery
from rcsbapi.search.attrs import rcsb_entity_source_organism
# Find human protein structures
query = AttributeQuery(
attribute=rcsb_entity_source_organism.scientific_name,
operator="exact_match",
value="Homo sapiens"
)
results = list(query())
```
**Sequence Similarity:** Find structures similar to a given sequence
```python
from rcsbapi.search import SequenceQuery
query = SequenceQuery(
value="MTEYKLVVVGAGGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKEKMSKDGKKKKKKSKTKCVIM",
evalue_cutoff=0.1,
identity_cutoff=0.9
)
results = list(query())
```
**Structure Similarity:** Find structures with similar 3D geometry
```python
from rcsbapi.search import StructSimilarityQuery
query = StructSimilarityQuery(
structure_search_type="entry",
entry_id="4HHB" # Hemoglobin
)
results = list(query())
```
**Combining Queries:** Use logical operators to build complex searches
```python
from rcsbapi.search import TextQuery, AttributeQuery
from rcsbapi.search.attrs import rcsb_entry_info
# High-resolution human proteins
query1 = AttributeQuery(
attribute=rcsb_entity_source_organism.scientific_name,
operator="exact_match",
value="Homo sapiens"
)
query2 = AttributeQuery(
attribute=rcsb_entry_info.resolution_combined,
operator="less",
value=2.0
)
combined_query = query1 & query2 # AND operation
results = list(combined_query())
```
### 2. Retrieving Structure Data
Access detailed information about specific PDB entries:
**Basic Entry Information:**
```python
from rcsbapi.data import Schema, fetch
# Get entry-level data
entry_data = fetch("4HHB", schema=Schema.ENTRY)
print(entry_data["struct"]["title"])
print(entry_data["exptl"][0]["method"])
```
**Polymer Entity Information:**
```python
# Get protein/nucleic acid information
entity_data = fetch("4HHB_1", schema=Schema.POLYMER_ENTITY)
print(entity_data["entity_poly"]["pdbx_seq_one_letter_code"])
```
**Using GraphQL for Flexible Queries:**
```python
from rcsbapi.data import fetch
# Custom GraphQL query
query = """
{
entry(entry_id: "4HHB") {
struct {
title
}
exptl {From beita6969/ScienceClaw, MIT.
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Signals
- Stars
- 1,019
- Forks
- 109
- Open issues
- 1
- Last commit (this folder)
- Mar 12, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/beita6969/ScienceClaw
- Website
- scienceclaw.science
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
pdb-database skill. Agent Mart. https://agentmart.dev/skills/beita6969-pdb-database (last updated 2026-10-24)