Welcome to the official documentation for HMRBase, a specialized knowledge base focusing on the specific pairs of hormones and their respective receptors across various species. Hormones are vital signaling molecules secreted by endocrine glands that regulate essential life processes, including growth, differentiation, physiology, and reproduction.
Web Server: http://crdd.osdd.net/raghava/hmrbase/(https://webs.iiitd.edu.in/raghava/hmrbase)
Rashid, M., Singla, D., Sharma, A., Kumar, M., & Raghava, G. P. S. (2009). Hmrbase: a database of hormones and their receptors. BMC Genomics, 10, 307. https://doi.org/10.1186/1471-2164-10-307 Zonedo:-(https://doi.org/10.5281/zenodo.20094900)
HMRBase was developed to provide a centralized resource for researchers studying the complex endocrine signaling networks. While many general protein-protein interaction databases exist, HMRBase specifically curates the unique relationships between hormones (ligands) and their cognate receptors.
- Curated Pairs: The database contains manually curated information on hormone-receptor pairs.
- Species Coverage: Includes data from various organisms, with a significant emphasis on human and model organisms such as mouse and rat.
- Hormone Diversity: Covers multiple types of hormones, including peptide hormones, steroid hormones, and amino acid derivatives.
- Search Module: Allows users to query the database using hormone names, receptor names, or specific species.
- Browsing: Users can browse the collection by hormone family or receptor type (e.g., G-protein coupled receptors, nuclear receptors).
- Sequence Alignment: Integrated tools for comparing hormone or receptor sequences to identify conserved domains and motifs.
- Functional Roles: Detailed information on the biological processes regulated by each hormone-receptor pair.
- Structural Links: Direct links to the Protein Data Bank (PDB) for pairs with available experimental 3D structures.
- Database Interconnectivity: Meticulously cross-referenced with external resources such as UniProt, Entrez Gene, and PubMed.
HMRBase is designed for high performance and user accessibility in a research environment.
- Backend: Powered by a MySQL database for structured and efficient data retrieval.
- Web Interface: Developed using standard web technologies (PHP/HTML) to provide a user-friendly platform.
- Data Sources: Information is extracted from existing biological databases combined with extensive manual curation of medical literature.
- Endocrinology Research: Facilitating the study of hormone-driven signaling pathways and systemic regulation.
- Drug Discovery: Identifying potential therapeutic targets within the hormone-receptor network.
- Comparative Genomics: Studying the evolution of endocrine signaling across different species.
Prof. Gajendra P.S. Raghava Bioinformatics Centre, Institute of Microbial Technology (CSIR), Chandigarh, India.
Email: raghava@imtech.res.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.