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URL: http://athina.biol.uoa.gr/bioinformatics/PRED-GPCR/
Proper Citation: PRED-GPCR (RRID:SCR_006196)
Description: A prediction tool for GPCR Family Classification from sequence alone based on a probabilistic method that uses family-specific profile Hidden Markov Models. The PRED-GPCR system is based on a probabilistic method that uses family specific profile HMMs in order to determine to which GPCR family a query sequence belongs or resembles. The approach proposed in this method exploits the descriptive power of profile HMMs along with an exhaustive discrimination assessment method to select only highly selective and sensitive profiles, for each family. The collection of these profiles constitutes a signature library, which is scanned, for significant matches with a given query sequence. The output report for a query sequence consists of two sections: * A ranked list of the profile HMM matches, below the selected individual motif E-value cutoff, along with their corresponding family. * A ranked list of the Combined P-values, E-values as well as the number of profiles matched for each family. To cross-evaluate your results you can browse through Swiss-Prot, Trembl, Pfam and Prosite family related entries.
Abbreviations: PRED-GPCR
Synonyms: PRED-GPCR: GPCRs Family classification from sequence alone
Resource Type: production service resource, data analysis service, service resource, data set, analysis service resource, data or information resource
Defining Citation: PMID:15215415
Keywords: g-protein coupled receptor, classification, hidden markov model, sequence, fasta, family classification, motif, bio.tools
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University of Athens Biophysics and Bioinformatics Laboratory |
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