The dataset viewer is not available for this dataset.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Research Peptides Reference Dataset
A clean, machine-readable reference table of research-grade peptides commonly discussed in biochemistry and drug-discovery literature. Each entry combines a curated research category with verified physicochemical properties pulled from PubChem (PUG REST): PubChem CID, molecular formula, molecular weight, canonical SMILES and IUPAC name.
The goal is a small, high-signal starting point for cheminformatics, tabular ML, educational tooling and literature-mining projects that need a normalized list of peptide names, aliases and structures.
Dataset structure
| Column | Description |
|---|---|
name |
Common name of the peptide |
aliases |
Semicolon-separated synonyms and codes |
category |
Broad research category (metabolic, regenerative, cosmetic, etc.) |
research_area_summary |
One-line neutral summary of the research context |
pubchem_cid |
PubChem Compound ID (when resolvable) |
molecular_formula |
From PubChem |
molecular_weight |
From PubChem (g/mol) |
canonical_smiles |
From PubChem |
iupac_name |
From PubChem |
How to load
from datasets import load_dataset
ds = load_dataset("PeptidosSuplementos/research-peptides-reference")
print(ds["train"][0])
How this dataset was built
- A curated seed list (
data/research_peptides_seed.csv) defines each peptide's name, aliases and research category. enrich_pubchem.pyqueries PubChem by name/alias and appends verified molecular properties. No molecular values are hand-entered.
The build script is included in the repository so the dataset is fully reproducible.
Curated and maintained by
This dataset is curated and maintained by the team at Péptidos y Suplementos México (peptidosysuplementos.mx), a Mexico-based catalog of research peptides and supplements. Corrections and additions are welcome via pull request.
⚠️ Intended use / disclaimer
For Research Use Only (RUO). This dataset is an informational, educational reference for computational and literature-mining work. It is not medical advice, dosing guidance, or a recommendation to use any compound in humans or animals. Many listed compounds are experimental and not approved for therapeutic use. Always consult primary literature and qualified professionals.
License
Released under CC-BY-4.0. The molecular data is sourced from PubChem, which places its data in the public domain (PubChem data usage policies apply). Please attribute this compilation when you reuse it.
Citation
@misc{research_peptides_reference,
title = {Research Peptides Reference Dataset},
author = {Péptidos y Suplementos México},
year = {2026},
url = {https://peptidosysuplementos.mx}
}
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