GPCR-GIA – Predicting GPCR Classification

GPCR-GIA

:: DESCRIPTION

The current GPCR-GIA is a 2-layer predictor: the 1st layer prediction engine is for identifying a query protein sequence as GPCR on non-GPCR

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Protein Eng Des Sel. 2009 Nov;22(11):699-705. doi: 10.1093/protein/gzp057. Epub 2009 Sep 22.
GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis.
Lin WZ1, Xiao X, Chou KC.

GPCR-CA – Predicting GPCR Classification

GPCR-CA

:: DESCRIPTION

The GPCR-CA (G-protein-coupled receptor – Cellular Automaton) is a 2-layer predictor: the 1st layer prediction engine is for identifying a query protein sequence as GPCR on non-GPCR; if it is a GPCR protein, the process will be automatically continued with the 2nd-layer prediction engine to further identify its type among the following six main functional classes: (1) rhodopsin-like, (2) secretin-like, (3) metabotrophic/glutamate/pheromone, (4) fungal pheromone, (5) cAMP receptor, and (6) Frizzled/Smoothemed family

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classes.
Xiao X, Wang P, Chou KC.
J Comput Chem. 2009 Jul 15;30(9):1414-23. doi: 10.1002/jcc.21163.

iGPCR-Drug – Predicting Drug-GPCR Interaction in Cellular Networking

iGPCR-Drug

:: DESCRIPTION

The webserver iGPCR-Drug was developed for predicting interaction between GPCRs and drugs in the cellular networks.

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

PLoS One. 2013 Aug 27;8(8):e72234. doi: 10.1371/journal.pone.0072234. eCollection 2013.
iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking.
Xiao X1, Min JL, Wang P, Chou KC.

GOMoDo beta – GPCR Online MOdeling and DOcking server

GOMoDo beta

:: DESCRIPTION

GOMoDo (GPCR Online Modeling and Docking) is a web server to seamlessly model GPCR (G-protein coupled receptors ) structures and dock ligands to the models in a single consistent pipeline.

::DEVELOPER

Department of Biotechnology, University of Verona | Institute of Computational Biomedicine (INM-9/IAS-5), Forschungszentrum Jülich.

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Sandal M, Duy TP, Cona M, Zung H, Carloni P, et al. (2013)
GOMoDo: A GPCRs Online Modeling and Docking Webserver.
PLoS ONE 8(9): e74092. doi:10.1371/journal.pone.0074092

GPCRSclass – SVM based Classification of Amine Type of GPCR

GPCRSclass

:: DESCRIPTION

 GPCRSclass is a dipeptide composition based method for predicting Amine Type of G-protein-coupled receptors. In this method type amine is predicted from dipeptide composition of proteins using SVM.

::DEVELOPER

 GPCRSclass Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin M, Raghava GPS.
GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors.
Nucleic Acids Res.(2005). 33(Web Server issue):W143-7

GPCRHMM – GPCR detection method

GPCRHMM

:: DESCRIPTION

GPCRHMM predicts G protein-coupled receptors from amino acid sequence.

::DEVELOPER

Käll Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 GPCRHMM

:: MORE INFORMATION

Citation

Markus Wistrand*, Lukas Käll* and Erik L.L. Sonnhammer.
A general model of G protein-coupled receptor sequences and its application to detect remote homologs.
Protein Science, 15 (3):509-21, Mars 2006.