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| name | pubchem-api-guide |
| description | Search PubChem for chemical compounds, structures, and bioassay data |
| metadata | {"openclaw":{"emoji":"⚗️","category":"domains","subcategory":"chemistry","keywords":["pubchem","chemistry","compounds","structures","bioassay","pharmacology"],"source":"https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest"}} |
PubChem is the world's largest free chemistry database, maintained by the National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine. It contains information on over 115 million chemical compounds, 300 million substances from hundreds of data sources, and over 1.5 million bioassay experiments. PubChem is a critical resource for researchers in chemistry, pharmacology, drug discovery, toxicology, and related life sciences.
The PUG REST (Power User Gateway RESTful) API provides programmatic access to PubChem's three primary databases: Compound (standardized chemical structures), Substance (depositor-provided records), and BioAssay (biological screening results). The API supports searches by name, molecular formula, structure similarity, substructure, and various identifiers including CID, SID, InChI, and SMILES.
PUG REST is entirely free, requires no authentication, and returns data in JSON, XML, CSV, SDF, and other formats. It is designed for both simple lookups and complex cheminformatics workflows.
No authentication is required. PubChem PUG REST is a free public service.
# No API key needed
curl "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/aspirin/JSON"
GET https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/{name}/JSON
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/caffeine/JSON" \
| python3 -m json.tool
Retrieve specific properties for a compound by CID.
GET https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/{cid}/property/{properties}/JSON
Available properties: MolecularFormula, MolecularWeight, CanonicalSMILES, InChI, InChIKey, IUPACName, XLogP, ExactMass, HBondDonorCount, HBondAcceptorCount, RotatableBondCount, TPSA
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/ibuprofen/property/MolecularFormula,MolecularWeight,CanonicalSMILES,IUPACName,XLogP/JSON" \
| python3 -m json.tool
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/fastformula/C8H10N4O2/property/IUPACName,MolecularWeight,CanonicalSMILES/JSON" \
| python3 -m json.tool
Find compounds structurally similar to a given compound (Tanimoto threshold).
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/fastsimilarity_2d/cid/2244/property/IUPACName,MolecularWeight,CanonicalSMILES/JSON?Threshold=90" \
| python3 -m json.tool
Retrieve biological activity data for a compound.
curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/2244/assaysummary/JSON" \
| python3 -m json.tool
import requests
import time
PUG_REST = "https://pubchem.ncbi.nlm.nih.gov/rest/pug"
def get_compound_properties(name):
"""Fetch key drug-likeness properties for a named compound."""
props = "MolecularWeight,XLogP,HBondDonorCount,HBondAcceptorCount,TPSA,RotatableBondCount,IUPACName"
url = f"{PUG_REST}/compound/name/{name}/property/{props}/JSON"
resp = requests.get(url)
resp.raise_for_status()
data = resp.json()
return data.get("PropertyTable", {}).get("Properties", [{}])[0]
def check_lipinski(props):
"""Check Lipinski's Rule of Five for oral drug-likeness."""
violations = 0
mw = props.get("MolecularWeight", 0)
logp = props.get("XLogP", 0)
hbd = props.get("HBondDonorCount", 0)
hba = props.get("HBondAcceptorCount", 0)
if mw > 500: violations += 1
if logp > 5: violations += 1
if hbd > 5: violations += 1
if hba > 10: violations += 1
return violations
drug_candidates = ["metformin", "atorvastatin", "lisinopril", "omeprazole"]
()
( * )
drug drug_candidates:
props = get_compound_properties(drug)
violations = check_lipinski(props)
(
)
time.sleep()
import requests
def compare_compounds(cid_list):
"""Compare properties of multiple compounds by CID."""
cids = ",".join(str(c) for c in cid_list)
props = "IUPACName,MolecularFormula,MolecularWeight,CanonicalSMILES,XLogP"
url = f"{PUG_REST}/compound/cid/{cids}/property/{props}/JSON"
resp = requests.get(url)
resp.raise_for_status()
return resp.json().get("PropertyTable", {}).get("Properties", [])
# Compare aspirin (2244), ibuprofen (3672), acetaminophen (1983)
results = compare_compounds([2244, 3672, 1983])
for compound in results:
print(f"\n{compound.get('IUPACName', 'Unknown')}")
print(f" Formula: {compound.get('MolecularFormula')}")
print(f" MW: {compound.get('MolecularWeight')}")
print(f" SMILES: {compound.get('CanonicalSMILES')}")
print(f" LogP: {compound.get('XLogP')}")
Structure-Activity Relationship (SAR) Analysis: Use similarity searches to find structural analogs of lead compounds, then retrieve bioassay data to compare biological activity across the series.
Virtual Screening: Screen large compound libraries against drug-likeness filters (Lipinski's rules, Veber's rules) using property endpoints to prioritize candidates for experimental testing.
Chemical Identifier Resolution: Translate between compound names, CIDs, InChI, InChIKey, and SMILES notations. Essential for data integration across heterogeneous chemistry databases.
Toxicology Research: Access bioassay results and safety data for compounds to support toxicity profiling and risk assessment in environmental health research.