HORDB 2.0: a comprehensive dataset of peptide hormones

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.

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Publication Details

Journal
Scientific Data
Published
2026-05-29
DOI
https://doi.org/10.1038/s41597-026-07514-7
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00

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article

HORDB 2.0: a comprehensive dataset of peptide hormones

Yuye Ran, Chenxin Hu, Xingzhen Lao, Heng Zheng
Scientific Data
Machine Learning in Bioinformatics
article

HORDB 2.0: a comprehensive dataset of peptide hormones

Yuye Ran, Chenxin Hu, Xingzhen Lao, Heng Zheng
article en

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.

Scientific Data
China Pharmaceutical University (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 10%
Machine Learning in Bioinformatics
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