Support Vector Machine GPCR Subfamily Classification Results for Q18923

>Q18923|Q18923 MATLEKKHSF FLLDPFFLLK SPTERARFQF LSLLLFPDFL IKIRLLFQMN ASTNATTTFV PWDHKTLQIV MFLNSKVLIL QIIFGCGGNI LNLMVLLSRA MRSRTNLIFA AMAFADLFFL ILHIPSVLFF IGTIRDAPWY RNGFSQVIAG MLNWSSAVSI WFMMYATIER VQVFRSPFRT SKRSASTRFF ITLFSIAFFC LLLTIVHFIH PKTRAANKYA RYVVYIHMIF VVIIPMFLST SLNILLVCAL RKNSMPLRML NDSHVHQSLI VQRTRTERKV TAMVTVILSS FIACNVPGSI VFVMKESDDT FDDSRRHILM QAVCNSLAVT GKVLNFLLFC LSSEHFRALL KKRDPQAVEM EEMRIVEIET ADRKIKRNWS YVKKNELKFE SAEKAKPSPV VCIKGNDESE INLLEKKTSS ISKYS


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.

-0.4129241Peptide
-0.7035637Class A Orphan/other
 -0.84904915GPR
 -0.9484729yet even more Class A Orphans
 -1.0022209Mas proto-oncogene
 -1.1700804Chemokine receptor-like 2
 -1.1948003SREB
 -1.2286184GPR37 like (peptide receptor)
 -1.2551266ORPH
 -1.2832702GP40 like
 -1.3100694Adrenomedullin (G10D)
 -1.322667RDC1
 -1.4090889BONZO
-0.8933274Viral
-0.95759046Gonadotropin-releasing hormone
-1.0465223Olfactory
-1.0802892Hormone protein
-1.086775Amine
-1.1209865Nucleotide-like
-1.1681299Thyrotropin-releasing hormone & Secretagogue
-1.1760947Prostanoid
-1.2448156Melatonin
-1.2572291(Rhod)opsin
-1.2578565Cannabis
-1.3025424Platelet activating factor
-1.3599257Lysosphingolipid & LPA (EDG)



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]