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GPCR & company: databases and servers for GPCRs and interacting partners
1Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment and The Fritz Haber Center for Molecular Dynamics, The Hebrew University of Jerusalem, Jerusalem, Israel.
Advances in Experimental Medicine and Biology
|October 26, 2013
Summary
This study reviews over 40 web resources for exploring G-protein-coupled receptor (GPCR) interactions. These tools aid researchers in understanding GPCRs, crucial for cell signaling and drug discovery.
Area of Science:
- Biochemistry
- Pharmacology
- Bioinformatics
Background:
- G-protein-coupled receptors (GPCRs) are vital membrane proteins mediating diverse cellular signaling pathways.
- GPCRs interact with various partners like small molecules, lipids, and proteins throughout their lifecycle.
- Understanding these interactions is crucial for cell signaling research and pharmaceutical development.
Purpose of the Study:
- To catalog and review freely available web resources for investigating GPCR interactions.
- To provide an overview of databases and servers relevant to GPCR research.
- To facilitate easier navigation and utilization of these online tools for the scientific community.
Main Methods:
- Systematic review of approximately 40 publicly accessible databases and servers.
- Categorization of resources based on interaction types: GPCR-ligand, specific GPCR families, oligomerization, intracellular partners, and structural information.
- Compilation of summary tables for enhanced resource navigation.
Main Results:
- Identification and description of numerous web resources for studying GPCR interactions.
- Classification of tools into key research areas, aiding targeted information retrieval.
- Highlighting the availability of diverse data, including biological, chemical, and pharmacological information.
Conclusions:
- A wide array of valuable online tools are currently available for GPCR interaction research.
- Summary tables and categorization enhance the accessibility and utility of these resources.
- Future enhancements could include cross-database linking and improved structural modeling capabilities.
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