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.
Highlights:
- 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.
Keywords:
- G-protein-coupled receptors
- amine-binding G-protein-coupled receptors
- GPCRs
- amine-binding GPCR prediction tool
- amine receptors prediction tool
Literature & Tutorials:
This record last updated: 09-16-2005