URL: http://athina.biol.uoa.gr/bioinformatics/PRED-COUPLE2/
Proper Citation: PRED-COUPLE 2 (RRID:SCR_006193)
Description: A tool that predicts the coupling specificity of G-protein coupled receptors to G-proteins. We present a method that combines hidden Markov models and a feed-forward artificial neural network to overcome these limitations, while producing the most accurate predictions currently available. Using an up-to-date curated dataset, our method yields a 94% correct classification rate in a 5-fold cross-validation test. The method predicts also promiscuous coupling preferences, including coupling to G12/13, whereas unlike other methods avoids overpredictions (false positives) when non-GPCR sequences are encountered. * 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.
Abbreviations: PRED-COUPLE 2
Synonyms: PRED-COUPLE
Resource Type: analysis service resource, data analysis service, service resource, production service resource
Defining Citation: PMID:16174684, PMID:15847681
Keywords: predict, g-protein coupled receptor, g-protein, fasta, hidden markov model, coupling specificity
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University of Athens Biophysics and Bioinformatics Laboratory |
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