PRED-COUPLE 2.00 input Page

A tool that predicts the coupling specificity of G-protein
coupled receptors to G-proteins

Version 2.00

Paste your sequence(s) here (in FASTA format):

The PRED-COUPLE 2.00 system predicts coupling specificty of GPCRs to all families of G-proteins (including G12/13).

Coupling to more than one G-protein families can also be predicted with this tool.

No membrane topology information is required. Furthermore, no membrane topology prediction is executed by this method.

The method is based on a refined library of highly-discriminative Hidden Markov Models. Hits from individual profiles are combined by a feed-forward Artificial Neural Network to produce the final output.

Seven (7) transmembrane receptor signatures from the Pfam database version 17.00 are also applied in order to verify a true GPCR sequence. When a query sequence is not recognized as a 7 transmembrane receptor a message is shown.

For more information on the the PRED-COUPLE 2.00 method, please consult the help page

Original papers :

"Prediction of the coupling specificity of GPCRs to four families of G-proteins using Hidden Markov Models and Artificial Neural Networks"
Sgourakis N.G., Bagos P.G. and Hamodrakas S.J. Submitted 2005

"A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models"
Sgourakis N.G., Bagos P.G., Papasaikas P.G. and Hamodrakas S.J. BMC Bioinformatics, 6:104, 2005
PubMed

link to a previous version of PRED-COUPLE