Tag: G protein-coupled receptor

QFC – Quasi-Periodic Feature Classifier algorithm for G protein-coupled receptors

QFC

:: DESCRIPTION

QFC (quasi-periodic feature classifier) is a new algorithm for identifying multi-transmembrane proteins from genomic databases with a specific application to identifying G protein-coupled receptors (GPCRs).

::DEVELOPER

the Kim Laboratory

:: SCREENSHOTS

QFC

:: REQUIREMENTS

  • Linux/ MacOsX/ Windows
  • java 

:: DOWNLOAD

 QFC

:: MORE INFORMATION

Citation

J. Kim, E.N. Moriyama, C.G. Warr, P.J. Clyne, and J.R. Carlson. 2000.
“Identification of novel multi-transmembrane proteins from genomic databases using quasi-periodic structural properties.”
Bioinformatics., 16(9): 767-775.

GPCR-2L – Predicting G-protein coupled Receptor attribute at two levels

GPCR-2L

:: DESCRIPTION

The GPCRpred-2L (GPCR-2L) is a two level predictor that uses fuzzy K nearest neighbor algorithm based on function domain and pseudo amino acid composition to predict G-protein coupled receptor attribute.

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Mol Biosyst. 2011 Mar;7(3):911-9. doi: 10.1039/c0mb00170h. Epub 2010 Dec 23.
GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions.
Xiao X1, Wang P, Chou KC.