Support Vector Machine GPCR Subfamily Classification Results for NP_001495

>NP_001495 MVLEVSDHQVLNDAEVAALLENFSSSYDYGENESDSCCTSPPCPQDFSLNFDRAFLPALYSLLFLLGLLG NGAVAAVLLSRRTALSSTDTFLLHLAVADTLLVLTLPLWAVDAAVQWVFGSGLCKVAGALFNINFYAGAL LLACISFDRYLNIVHATQLYRRGPPARVTLTCLAVWGLCLLFALPDFIFLSAHHDERLNATHCQYNFPQV GRTALRVLQLVAGFLLPLLVMAYCYAHILAVLLVSRGQRRLRAMRLVVVVVVAFALCWTPYHLVVLVDIL MDLGALARNCGRESRVDVAKSVTSGLGYMHCCLNPLLYAFVGVKFRERMWMLLLRLGCPNQRGLQRQPSS SRRDSSWSETSEASYSGL



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.

1.0782721 Peptide GPCRDB Peptide
  0.9978797 Chemokine GPCRDB Chemokine
   1.0322297 C-X-C Chemokine GPCRDB C-X-C Chemokine
    1.2409705 C-X-C Chemokine type 3 GPCRDB C-X-C Chemokine type 3
   -0.7568374 C-X-C Chemokine type 4
   -0.8257061 C-X-C Chemokine type 5
   -0.9577085 BONZO receptors (CXC6R)
  -0.7993893 C-C Chemokine
  -1.098197 XC Chemokine
  -1.1320124 C-X3-C Chemokine
 -0.680979Interleukin-8
 -0.91448265Angiotensin
 -0.97320485Galanin
 -1.0231403Fmet-leu-phe
 -1.0362203Bradykinin
 -1.0455874APJ like
 -1.0683867C5a anaphylatoxin
 -1.0714998Thrombin
 -1.0826973Tachykinin
 -1.0929583Endothelin
 -1.1157315Neuromedin U
 -1.1430013Urotensin II
 -1.1431216Adrenomedullin (G10D)
 -1.1522846CCK
 -1.196825Chemokine receptor-like
 -1.1977224Melanocortin
 -1.1994699GPR37 / endothelin B-like
 -1.2285883Bombesin
 -1.2413013Proteinase activated
 -1.2462893Neurotensin
 -1.2710972Vasopressin-like
 -1.3200037Orexin & neuropeptide FF
 -1.3385055Opioid
 -1.3478322Somatostatin
 -1.618698Neuropeptide Y
-0.7167439Viral
-0.780867Hormone protein
-0.9581496Gonadotropin-releasing hormone
-0.95902306(Rhod)opsin
-0.9648386Nucleotide-like
-0.99837667Class A Orphan/other
-1.0355841Platelet activating factor
-1.0560123Prostanoid
-1.0595336Thyrotropin-releasing hormone & Secretagogue
-1.1016881Cannabis
-1.1248589Melatonin
-1.260594Olfactory
-1.3449924Lysosphingolipid & LPA (EDG)
-1.5633959Amine




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 19 Class B Secretin like and 11 Class C Metabotropic glutamate / pheromone and 2 Class D Fungal pheromone and 5 Frizzled/Smoothened family and 4 Nematode chemoreceptors and 4 Vomeronasal receptors (V1R & V3R) and 97 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" Bioinformatics 2002 in press [postscript, pdf]