Support Vector Machine GPCR Subfamily Classification Results for Affy.ctg16306-000000.4.1

>Affy.ctg16306-000000.4.1 MGPIGAEADENQTVEEMKVEQYGPQTTPRGELVPDPEPELIDSTKLIEVQVVLILAYCSI ILLGVIGNSLVIHVVIKFKSMRTVTNFFIANLAVADLLVNTLCLPFTLTYTLMGEWKMGP VLCHLVPYAQGLAVQVSTITLTVIALDRHRCIVYHLESKISKRISFLIIGLAWGISALLA SPLAIFREYSLIEIIPDFEIVACTEKWPGEEKSIYGTVYSLSSLLILYVLPLGIISFSYT RIWSKLKNHVSPGAANDHYHQRRQKTTKMLVCVVVVFAVSWLPLHAFQLAVDIDSQVLDL KEYKLIFTVFHIIAMCSTFANPLLYGWMNSNYRKAFLSAFRCEQRLDAIHSEVSVTFKAK KNLEVRKNSGPNDSFTEATNV



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.

1.0549589 Peptide GPCRDB Peptide
  1.0398477 Neuropeptide Y GPCRDB Neuropeptide Y
   1.0164001 Neuropeptide Y type 2 GPCRDB Neuropeptide Y type 2
  -1.0333977Neuropeptide Y other
  -1.0432765Neuropeptide Y type 5
  -1.1418962Neuropeptide Y type 4
  -1.1632073Neuropeptide Y type 1
  -1.3093903Neuropeptide Y type 6
  -1.3350825Neuropeptide Y / peptide YY
 -0.89239955Tachykinin
 -0.9418437Galanin
 -0.9589694Orexin
 -1.0198629CCK
 -1.0409347Proteinase activated
 -1.0490389Neurotensin
 -1.0584464Chemokine
 -1.0925577Chemokine/chemotactic factors like
 -1.0952224Bombesin
 -1.1090829Endothelin
 -1.1265452Urotensin II
 -1.1404166Melanocortin
 -1.1918278Fmet-leu-phe
 -1.2299968Somatostatin
 -1.2766268Angiotensin
 -1.289802APJ like
 -1.3103614Opioid
 -1.327653Vasopressin-like
 -1.3351953Thrombin
 -1.3424935Bradykinin
 -1.3537664Interleukin-8
 -1.5456383C5a anaphylatoxin
-0.9742023Gonadotropin-releasing hormone
-0.9896724Melatonin
-0.9951591Class A Orphan/other
-1.04133Thyrotropin-releasing hormone & Secretagogue
-1.1097999Viral
-1.1240249Prostanoid
-1.1320164(Rhod)opsin
-1.1385612Hormone protein
-1.1817076Nucleotide-like
-1.2015805Cannabis
-1.2695946Lysosphingolipid & LPA (EDG)
-1.2743284Olfactory
-1.2923999Platelet activating factor
-1.4239728Amine


View all predicted Class A Rhodopsin like peptides

HOW TO INTERPRET THE SCORES:

Subfamily Scoring:

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 76 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]