Conceptio › Archive › Zenodo (CERN)
Zenodo (CERN) open access

HMRbase2: A Database of Hormones and Their Receptors

Kaur, Dashleen et al. · Zenodo (CERN)
Zenodo (CERN) · Papers
Open Source ↗
open-access
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

HMRbase2: A Database of Hormones and Their Receptors | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. raghavagps Published June 8, 2023 | Version v1 Dataset Open HMRbase2: A Database of Hormones and Their Receptors Authors/Creators Kaur, Dashleen (Researcher) 1 Arora, Akanksha (Researcher) 1 patiyal, Sumit (Researcher) 1 Raghava, Gajendra (Supervisor) 1 Show affiliations 1. Indraprastha Institute of Information Technology Delhi Description Welcome to the official documentation for HMRBase2 , a comprehensive and manually curated database of hormones and their respective receptors. This resource was developed to assist researchers in understanding the complex molecular interactions of the endocrine system, which is vital for physiological regulation and drug discovery. Web Server: http://webs.iiitd.edu.in/raghava/hmrbase2/ Citation Patiyal, S., Agrawal, P., Kumar, V., Dhall, A., Kumar, R., Mishra, G., & Raghava, G. P. S. (2020). HMRBase2: a comprehensive database of hormones and their receptors. Briefings in Bioinformatics , 21(3), 1051–1059. https://doi.org/10.1093/bib/bbz048. GitHub;- https://github.com/Manish-IIITD-repository/HMRbase2 \ About the Platform Hormone-receptor interactions are the cornerstone of cellular communication. While various databases exist for general protein-protein interactions, HMRBase2 provides a specialized repository focusing exclusively on the specific pairs of hormones and receptors across different species. Data Composition Extensive Repository : Contains approximately 13,000 hormone-receptor pairs. Species Diversity : Features data from various organisms, with a primary focus on human and mouse models. Integrated Databases : Data is compiled and curated from established resources including UniProt, IUPHAR/BPS Guide to Pharmacology, and various research articles. Key Features Search and Browse Modules Simple Search : Query the database using keywords such as hormone name, receptor name, or species. Advanced Search : Perform complex queries using logical operators (AND, OR) to filter results by specific parameters. Browsing : Users can browse entries based on hormone type (peptide, steroid, etc.), receptor family (GPCR, nuclear receptors), or organism. Informative Annotations Functional Details : Provides insights into the physiological roles and signaling pathways triggered by specific interactions. Structural Information : Links to PDB (Protein Data Bank) and other structural resources where experimental 3D structures of the complexes are available. Disease Associations : Information regarding clinical implications or diseases linked to the malfunction of specific hormone-receptor pairs. Technical Overview HMRBase2 is implemented using a robust web architecture to ensure high performance and accessibility. Backend : MySQL is used for secure and efficient data management. Interface : The web interface is built using PHP, HTML5, and JavaScript for a responsive user experience. Cross-Linking : Entries are meticulously cross-referenced with external databases such as UniProt, Entrez Gene, and PubMed. Applications Endocrinology Research : Facilitating the study of hormone signaling and systemic homeostasis. Pharmacology : Assisting in the identification of potential drug targets by mapping known receptor-ligand interactions. Systems Biology : Providing high-quality datasets for modeling large-scale cellular signaling networks. Contact & Authors Prof. Gajendra P.S. Raghava Department of Computational Biology, Indraprastha Institute of Information Technology (IIIT-Delhi), India. Email : raghava@iiitd.ac.in License This resource is open-access and distributed under the terms of the Creative Commons Attribution License , permitting unrestricted use and distribution provided the original work is properly credited. Files Manish-IIITD-repository/HMRbase2-v1.zip Files (2.0 MB) Name Size Download all Manish-IIITD-repository/HMRbase2-v1.zip md5:66328ded4009510bd8f7ffa76b527632 2.0 MB Preview Download Additional details Related works Is supplement to Software: https://github.com/Manish-IIITD-repository/HMRbase2/tree/v1 (URL) Software Repository URL https://github.com/Manish-IIITD-repository/HMRbase2 26 Views 15 Downloads Show more details All versions This version Views Total views 26 26 Downloads Total downloads 15 15 Data volume Total data volume 34.7 MB 34.7 MB More info on how stats are collected.... Versions External resources Available in Manish-IIITD-repository/HMRbase2 Release: v1 Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.20089050 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20089050.svg)](https://doi.org/10.5281/zenodo.20089050) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20089050.svg :target: https://doi.org/10.5281/zenodo.20089050 HTML <a href="https://doi.org/10.5281/zenodo.20089050"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20089050.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20089050.svg Target URL https://doi.org/10.5281/zenodo.20089050 Resource type Dataset Publisher Zenodo Rights License MIT License A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code. Read more Citation Export Technical metadata Created May 8, 2026 Modified May 8, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

Related documents

Record · ID 171145 · SHA-256 9a3ca36c4c064701
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive