GPCRsclass -- a web tool for the classification of amine type of G-protein-coupled receptors

What you can do:
Predict amine-binding G-protein-coupled receptors (GPCRs) based on amino acid sequences.
  • The method was developed on the basis of amino acid composition and dipeptide composition of proteins using support vector machine.
  • The method discriminated amine subfamily of GPCRs from globular proteins with Matthew's correlation coefficient of 0.98 and 0.99 using amino acid composition and dipeptide composition, respectively.
  • In classifying different types of amine receptors using amino acid composition and dipeptide composition, the method achieved an accuracy of 89.8 and 96.4%, respectively.
  • The performance of the method was evaluated using 5-fold cross-validation.
  • The dipeptide composition based method predicted 67.6% of protein sequences with an accuracy of 100% with a reliability index > or =5.
  • G-protein-coupled receptors
  • amine-binding G-protein-coupled receptors
  • GPCRs
  • amine-binding GPCR prediction tool
  • amine receptors prediction tool
This record last updated: 09-16-2005
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