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/
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://link.springer.com/article/10.1007/s42000-023-00455-5
Zenodo:-(https://doi.org/10.5281/zenodo.20089050)
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.
- 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.
- 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.
- 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.
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.
- 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.
Prof. Gajendra P.S. Raghava Department of Computational Biology, Indraprastha Institute of Information Technology (IIIT-Delhi), India. Email: raghava@iiitd.ac.in
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.