A tool that predicts the
coupling specificity of G-protein coupled
receptors to G-proteins
sequence(s) here (in FASTA format):
The PRED-COUPLE 2.00 system predicts coupling specificty of GPCRs to all families of G-proteins (including
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