OSCR

HORDB 2.0: a comprehensive dataset of peptide hormones.

Overview

Authors: Chenxin Hu1, Yuye Ran1, Xingzhen Lao1, Heng Zheng1
ORCID iDs: Yuye Ran
  1. China Pharmaceutical University, Nanjing, China
Institutions: China Pharmaceutical University (China)
Journal: Scientific data, volume 13, issue 1, article 1225
Dates: received 13 November 2025; accepted 26 May 2026; published online 29 May 2026
Type: Data paper · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41597-026-07514-7 · PMID 42209546 · PMCID PMC13503779 · OpenAlex W7162643798
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: human (organism), methods / tools (subfield)
MeSH: Peptide Hormones*, Humans (* major topic)
Topic: Machine Learning in Bioinformatics (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD 2023007); National Natural Science Foundation of China (82273834)
Citations: not cited yet (Europe PMC); 31 references in the paper

Abstract

Peptide hormones are key signaling molecules secreted by endocrine cells that regulate vital physiological processes such as metabolism, growth, development, and reproduction. Advances in protein detection and computational approaches have led to the continuous identification of novel peptide hormones, highlighting their potential in basic research, clinical applications, and drug development. To support systematic studies in this field, we present HORDB 2.0, an open-access, manually curated dataset of peptide hormones. This dataset comprises 7,390 entries, including 7,307 peptide hormones and 83 peptide hormone drugs, corresponding to 372 marketed formulations. The dataset includes annotations on sequence, activity, structure, physicochemical properties, patents, clinical data, and literature references, where available. Additional parameters, including IC₅₀, EC₅₀, ED₅₀, and blood–brain barrier permeability, are also provided to facilitate peptide modification and drug design. HORDB 2.0 represents an expanded and enriched resource for peptide hormone research and therapeutic development, and may support downstream applications in endocrinology, pharmacology, and peptide-based drug discovery.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

accessdata.fda.gov/scripts/cder

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Data collection and processing”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

ema.europa.eu/en/medicines

License: none: the authors keep all their rights
State: the link is dead, verified on 28 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: the text, “Data collection and processing”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link is dead (HTTP 404)
  • 28 September 2026: the link is dead (HTTP 404)

Code availability

No custom code is associated with this Data Descriptor.

Reproduced under the paper's license (CC BY), from the paper cited above.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Data Availability Statement

The HORDB 2.0 dataset generated and described in this study—including all annotated peptide hormone entries, physicochemical properties, drug information, associated sequences, and structural files—has been deposited as a static, versioned archive in the Zenodo repository under the accession code 10.5281/zenodo.18530505. This archive contains the complete dataset in machine-readable formats (.xlsx, .fasta, .pdb, .zip) as detailed in the Data Records section. All data are freely available for download and reuse under the terms specified in the repository.

No custom code is associated with this Data Descriptor.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 2 MeSH terms, 2 funders, 28 references.

Cite

This paper

Hu, C., Ran, Y., Lao, X., & Zheng, H. (2026). HORDB 2.0: a comprehensive dataset of peptide hormones. Scientific data, 13(1), 1225. https://doi.org/10.1038/s41597-026-07514-7

BibTeX

@article{hu2026hordb,
author = {Hu, Chenxin and Ran, Yuye and Lao, Xingzhen and Zheng, Heng},
title = {{HORDB 2.0: a comprehensive dataset of peptide hormones}},
journal = {Scientific data},
year = {2026},
month = may,
volume = {13},
number = {1},
pages = {1225},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07514-7},
url = {https://doi.org/10.1038/s41597-026-07514-7},
pmid = {42209546},
pmcid = {PMC13503779}
}

RIS

TY - JOUR
AU - Hu, Chenxin
AU - Ran, Yuye
AU - Lao, Xingzhen
AU - Zheng, Heng
TI - HORDB 2.0: a comprehensive dataset of peptide hormones
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/05/29
VL - 13
IS - 1
SP - 1225
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07514-7
UR - https://doi.org/10.1038/s41597-026-07514-7
LA - en
ER -

CSL-JSON

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