Support Vector Machine GPCR Subfamily Classification Results for P95942

>P95942|P95942 MIKLKLKLFK KMNLFELMNT RINENIKYYG DDMERLRKEY IVMLFLMPLI SSISIILYLK ISPYFLLLNI MNVFIYFFPI LITQIRKDEQ RKLIENEMPV FLLFAYVNSL LGRNLYKTFE EIRNSKVFKG LRREAMLLVK EVEVLGKSSF SAMESRAKAH RGDFLGKIYT VYTSGESIGI SMPERLKDLL NETIDGLNSN FQGYVEKVNE LVEILFMLFL ITPMILLAFQ YISSSINIFE LIFPLLLFPI IFFYISLIQP NIGYDIKIDI KEVKNSLYIL PIPFILVFLF HLSLEYEILV FYSIFIMFSF FIYRKISVAD AILNNLPYIL SDIADYLKIG YSIKSAILKL NVDNTHFRMF LGELAAKIRK NEAISNVRTN IWIVNAILEL IENIDKKGFA DTYTFKDLSL ILYNYTSLRK KVLQNLRLFS ILATITPIVF YFALGIMSKI RAVGNLDLII VLYTMALSII YAKVSRFTVF NFPLLVLALM NLIIVLLFGN VILTFI


Here is a list of Class A Rhodopsin like subfamilies with support vector machine models and the score this sequence received with respect to each model.

-0.9551141Gonadotropin-releasing hormone
-1.0275629Nucleotide-like
-1.0687417Hormone protein
-1.1496991Thyrotropin-releasing hormone & Secretagogue
-1.2024484Viral
-1.2593882Prostanoid
-1.2629032Melatonin
-1.2817512Cannabis
-1.2897425Olfactory
-1.3612767Platelet activating factor
-1.3943318Lysosphingolipid & LPA (EDG)
-1.4592638(Rhod)opsin
-1.5202023Class A Orphan/other
 -1.0001917Mas proto-oncogene
 -1.2020843SREB
 -1.2119033Chemokine receptor-like 2
 -1.2432513GPR37 like (peptide receptor)
 -1.2713076ORPH
 -1.2923169GP40 like
 -1.3216736Adrenomedullin (G10D)
 -1.3225205RDC1
 -1.3226864GPR
 -1.4088345BONZO
 -1.702354yet even more Class A Orphans
-1.7425656Amine
-1.8378782Peptide


HOW TO INTERPRET THE SCORES:

Subfamily Scoring:

This sequence does not appear to be in any of the subfamilies for which we have models



The support vector machine for each subfamily is trained to score positive examples (members of the subfamily) as 1.0 and negative examples (non-members) as -1.0

If this sequence receives a negative score with respect to a subfamily, it is probably not a member of the subfamily.

If this sequence receives a positive score with respect to a subfamily, it is probably in the subfamily.

In general, the score's distance from zero gives you the confidence level of the prediction. Positive scores greater than +1.0 mean a classifier has strongly accepted your sequence. Negative scores less than -1.0 mean a classifier has strongly rejected your sequence. For a more detailed evaluation of scores and confidence levels, take a look at Classification Statistics.
SOME ADDITIONAL INFORMATION:

There were 17 Class B Secretin like and 11 Class C Metabotropic glutamate / pheromone and 2 Class D Fungal pheromone and 5 Frizzled/Smoothened family and 67 Class A Rhodopsin like subfamilies whose classifiers were not run, because the families or subfamilies that contain them were rejected by classifiers higher in the hierarchy. For example, if the Amine receptor classifier scores this sequence negatively, it will not be checked with respect to the subfamilies of Amine receptors (Histamine, Serotonin, Dopamine, Octopamine and Acetylcholine (muscarinic) receptors).

Not all subfamilies have models yet. This sequence may be in a subfamily that has not yet been modeled.

Please cite: R. Karchin, K. Karplus and D. Haussler "Classifying G-Protein Coupled Receptors with Support Vector Machines" http://www.cse.ucsc.edu/research/compbio/gpcr-subclass [postscript, pdf]