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tGRAP, the G-protein coupled receptors mutant database
Oyvind Edvardsen1, Anne Lise Reiersen, Margot W Beukers
1Department of Pharmacology, Institute of Pharmacy, Breivika, University of Tromsø, N-9037 Tromsø, Norway. edvard@farmasi.uit.no
Nucleic Acids Research
|December 26, 2001
Summary
The tGRAP mutant database provides comprehensive data on mutated G-protein coupled receptors (GPCRs), facilitating research and comparisons. This resource aids scientists in understanding GPCR mutations and their effects.
Area of Science:
- Biochemistry and Molecular Biology
- Genomics and Proteomics
- Pharmacology
Background:
- G-protein coupled receptors (GPCRs) are crucial membrane proteins involved in numerous physiological processes.
- Understanding the functional impact of mutations in GPCRs is essential for drug discovery and disease research.
- Existing databases may lack comprehensive, manually curated data on GPCR mutants.
Purpose of the Study:
- To present the tGRAP mutant database, a comprehensive resource for G-protein coupled receptor (GPCR) mutation data.
- To provide researchers with efficient tools for accessing and analyzing GPCR mutant information.
- To facilitate comparative analysis of mutagenesis data across different GPCR families.
Main Methods:
- Manual extraction and curation of GPCR mutant data from scientific literature.
- Development of a searchable database (tGRAP) with a user-friendly query form.
- Implementation of a sequence alignment tool for accessing and comparing mutation data.
Main Results:
- The tGRAP database (release 10, April 2001) contains approximately 10,500 mutants from nearly 1,400 research papers.
- Data covers five major GPCR families: Family A (rhodopsin-like), Family B (secretin-like), Family C (metabotropic glutamate-like), Family D (pheromone), and Family E (cAMP receptors).
- New sequence alignment tool enables customized views and facilitates cross-receptor comparisons.
Conclusions:
- The tGRAP database serves as a valuable, curated resource for GPCR mutant research.
- Enhanced accessibility through query forms and sequence alignments improves data utility.
- The database supports comparative mutagenesis studies, advancing the understanding of GPCR function.