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Related Experiment Videos

GRIS: glycoprotein-hormone receptor information system.

Joost Van Durme1, Florence Horn, Sabine Costagliola

  • 1Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Campus Erasme, Route de Lennik 808, B-1070 Brussels, Belgium.

Molecular Endocrinology (Baltimore, Md.)
|March 18, 2006
PubMed
Summary

The glycoprotein-hormone receptor information system (GRIS) offers a unified database for key G protein-coupled receptors, including mutation data and interactive tools. This resource aids researchers in understanding receptor function and designing experiments.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Pharmacology

Background:

  • G protein-coupled receptors (GPCRs) play critical roles in cellular signaling.
  • Specific GPCRs, including lutropin/choriogonadotropin, follitropin, and thyrotropin receptors, are crucial for various physiological processes.
  • Understanding the impact of mutations on these receptors is vital for deciphering their function and developing therapeutics.

Purpose of the Study:

  • To present the Glycoprotein-Hormone Receptor Information System (GRIS), an integrated database for lutropin/choriogonadotropin, follitropin, and thyrotropin receptors.
  • To provide a comprehensive resource for molecular data, including mutations, sequences, and homology models.
  • To offer interactive tools for experimental design and data interpretation.

Main Methods:

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  • Automated literature extraction and manual curation of mutation data.
  • Integration of mutation information with receptor sequences and homology models.
  • Development of interactive tools for data visualization and analysis, including rotamer analysis and cavity visualization.

Main Results:

  • The GRIS database contains 696 point mutations for the studied receptors.
  • Information includes mutation effects on constitutivity, surface expression, hormone sensitivity, and binding affinity.
  • A universal residue numbering system facilitates database searches and literature data integration.

Conclusions:

  • GRIS provides a valuable, user-friendly resource for GPCR researchers.
  • Interactive tools within GRIS enhance the design and interpretation of experiments.
  • The system supports collaborative research by allowing users to upload new mutation data.