Evidence map›Paper›PMID 42209546›Full record

ArticleScientific data2026

HORDB 2.0: a comprehensive dataset of peptide hormones.

Chenxin Hu, Yuye Ran, Xingzhen Lao, Heng Zheng

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chenxin HuChina Pharmaceutical University, Nanjing, China.
Yuye RanChina Pharmaceutical University, Nanjing, China.
Xingzhen LaoChina Pharmaceutical University, Nanjing, China. lao_cpu@126.com.
Heng ZhengChina Pharmaceutical University, Nanjing, China. zhengh18@hotmail.com.

Funding

National Natural Science Foundation of China 82273834Priority Academic Program Development of Jiangsu Higher Education Institutions PAPD 2023007
6 · The paper itself

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.

Indexed as

Peptide HormonesHumansPeptide Hormones

Identifiers

PMID42209546
PMCPMC13503779

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.