skills/43-wentorai-research-plugins/skills/domains/biomedical/pdb-structure-api/SKILL.md
Search and retrieve 3D protein structures from the RCSB Protein Data Bank
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research pdb-structure-apiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
The RCSB Protein Data Bank (PDB) is the single global archive for experimentally determined 3D structures of biological macromolecules. It hosts over 200,000 structures resolved by X-ray crystallography, cryo-EM, NMR spectroscopy, and other methods. Each entry includes atomic coordinates, experimental metadata, polymer sequences, bound ligands, and literature references.
Two complementary APIs are available. The Data API (data.rcsb.org) serves structured entry metadata, polymer entities, and chemical components via RESTful GET endpoints. The Search API (search.rcsb.org) supports full-text, attribute-based, sequence similarity, and structure similarity searches.
No authentication required. Both APIs are freely accessible without API keys, tokens, or registration.
Retrieve metadata for a structure including experimental method, resolution, citations, and bound components.
GET https://data.rcsb.org/rest/v1/core/entry/{pdb_id}curl "https://data.rcsb.org/rest/v1/core/entry/4HHB"
{
"rcsb_id": "4HHB",
"struct": {
"title": "THE CRYSTAL STRUCTURE OF HUMAN DEOXYHAEMOGLOBIN AT 1.74 ANGSTROMS RESOLUTION"
},
"exptl": [{"method": "X-RAY DIFFRACTION"}],
"rcsb_entry_info": {
"deposited_atom_count": 4779,
"molecular_weight": 64.74,
"polymer_composition": "heteromeric protein",
"polymer_entity_count_protein": 2,
"resolution_combined": [1.74],
"nonpolymer_bound_components": ["HEM"]
}
}
Retrieve protein/nucleic acid entity details including sequence, organism, and gene info.
GET https://data.rcsb.org/rest/v1/core/polymer_entity/{pdb_id}/{entity_id}curl "https://data.rcsb.org/rest/v1/core/polymer_entity/4HHB/1"
{
"entity_poly": {
"pdbx_seq_one_letter_code_can": "VLSPADKTNVKAAWGKVGAHAGEYGAEALERMFLSFPTTKTYFPHFDLSH...",
"rcsb_entity_polymer_type": "Protein",
"rcsb_sample_sequence_length": 141,
"type": "polypeptide(L)"
},
"entity_src_gen": [{
"gene_src_common_name": "Human",
"pdbx_gene_src_scientific_name": "Homo sapiens",
"pdbx_gene_src_ncbi_taxonomy_id": "9606"
}]
}
Retrieve ligand or small molecule metadata by component ID.
GET https://data.rcsb.org/rest/v1/core/chemcomp/{comp_id}curl "https://data.rcsb.org/rest/v1/core/chemcomp/HEM"
{
"rcsb_id": "HEM",
"chem_comp": {
"formula": "C34 H32 Fe N4 O4",
"formula_weight": 616.487,
"name": "PROTOPORPHYRIN IX CONTAINING FE",
"type": "non-polymer"
}
}
Search across all PDB entries with free-text queries. Returns ranked results by relevance.
POST https://search.rcsb.org/rcsbsearch/v2/queryContent-Type: application/jsonquery.type ("terminal"), query.service ("full_text", "text", "sequence", "structure"), query.parameters.value, return_type ("entry", "polymer_entity", "assembly"), request_options.paginate.start/rowscurl -X POST "https://search.rcsb.org/rcsbsearch/v2/query" \
-H "Content-Type: application/json" \
-d '{
"query": {
"type": "terminal",
"service": "full_text",
"parameters": {"value": "hemoglobin"}
},
"return_type": "entry",
"request_options": {
"results_content_type": ["experimental"],
"paginate": {"start": 0, "rows": 3}
}
}'
{
"query_id": "6f7192a6-d65b-4ff1-9d94-37b9600a8864",
"result_type": "entry",
"total_count": 8960,
"result_set": [
{"identifier": "3GOU", "score": 1.0},
{"identifier": "6IHX", "score": 0.9995},
{"identifier": "2PGH", "score": 0.9985}
]
}
For attribute-based searches, use "service": "text" with "attribute" and "operator" fields. Combine multiple criteria with "type": "group" and "logical_operator": "and".
No formal rate limits or rate-limit headers are published. RCSB recommends reasonable request rates. For bulk data, use FTP downloads at https://files.rcsb.org/pub/pdb/ or ftp://ftp.wwpdb.org/pub/pdb/ instead of iterative API calls.
import requests
# Search for kinase inhibitor structures
search_body = {
"query": {"type": "terminal", "service": "full_text",
"parameters": {"value": "tyrosine kinase inhibitor"}},
"return_type": "entry",
"request_options": {"results_content_type": ["experimental"],
"paginate": {"start": 0, "rows": 5}}
}
results = requests.post("https://search.rcsb.org/rcsbsearch/v2/query",
json=search_body).json()
print(f"Total hits: {results['total_count']}")
# Retrieve metadata for each hit
for hit in results["result_set"]:
pdb_id = hit["identifier"]
entry = requests.get(
f"https://data.rcsb.org/rest/v1/core/entry/{pdb_id}").json()
info = entry["rcsb_entry_info"]
print(f"{pdb_id}: {entry['struct']['title'][:80]}")
print(f" Resolution: {info.get('resolution_combined', ['N/A'])[0]} A, "
f"Method: {info['experimental_method']}")
import requests
pdb_id = "4HHB"
entry = requests.get(
f"https://data.rcsb.org/rest/v1/core/entry/{pdb_id}").json()
for eid in range(1, entry["rcsb_entry_info"]["polymer_entity_count"] + 1):
entity = requests.get(
f"https://data.rcsb.org/rest/v1/core/polymer_entity/{pdb_id}/{eid}"
).json()
poly = entity["entity_poly"]
src = entity.get("rcsb_entity_source_organism", [{}])[0]
print(f"Entity {eid}: {poly['rcsb_entity_polymer_type']} "
f"({src.get('ncbi_scientific_name', 'N/A')})")
print(f" {poly['rcsb_sample_sequence_length']} residues: "
f"{poly['pdbx_seq_one_letter_code_can'][:50]}...")
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.