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ENSMGAP00000004079 (Meleagris gallopavo 76_2)
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For a sequence (see Protein sequence) in target, dcGO predictor has the following procedures to predict the ontology terms of the target:
First, obtain Domain architecture and its residual domains and supra-domains from the SUPERFAMILY database.
Then, use the domain-centric annotations to predict the ontology terms of the target:
- If a target contained a domain/supra-domain, then all ontology terms associated to that domain/supra-domain are transferred to the target (together with hypergeometric score, h-score);
- When a target-to-term transfer is supported by one or more residential domains/supra-domains, sum up h-scores to calculate predictive score (p-score);
- The p-score is then rescaled to the range of 0-1. For each namespace (e.g., three sub-ontologies for GO), p-score=(SUM-MIN)/(MAX-MIN), where SUM is the sum of all h-scores to support a term transferred to the target, MIN and MAX are respectively the minimum and maximum of SUM over a whole list of predicted terms for the target;
Finally, the predictive score being rescaled is used to rank the predictions. The higher value of the p-score indicates the more evident the prediction is. In the dcGO, each ontology has a slim version on its own, containing ontological terms at four levels of increasing granularity (that is, being highly general, general, specific, and highly specific). Listed in the table are the top 5 predictions for each specificity and for each namespace. In addition to those restricted by the term specificity, i.e., Export prediction (slim version), the full list of predictions are also provided for the download, i.e., Export prediction (full version).
Protein sequence
Comment |
pep:known_by_projection chromosome:UMD2:28:2737830:2822780:-1 gene:ENSMGAG00000004212 transcript:ENSMGAT00000004791 gene_biotype:protein_coding transcript_biotype:protein_coding |
Sequence length |
1770 |
Sequence |
MDRRRTCPWALRSDGDGRSASLLCLLLASLSWSASSSTSFSTFHSEHRDWTFNHLTVHQS
TGAVYVGAINRVYKLSGNLTILVAHKTGPEEDNKSCYPPLIVQPCSEVLTLTNNVNKLLI
IDYSENRLLACGSLYQGVCKLLRLDDLFILVEPSHKKEHYLSSVNKTGTMYGVIVRSEGE
DGKLFIGTAVDGKQDYFPTLSSRKLPRDPESSAMLDYELHSDFVSSLIKIPSDTLALISH
FDIFYIYGFASGNFVYFLTVQPETPEGVSNSASDLFYTSRIVRLCKDDPKFHSYVSLPFG
CVRGDTEYRLLQAAYLSKPGDVLAKSLNITAQEDVLFAIFSKGQKQYHQPPDDSALCVFP
IRAVNAQIKDRLQSCYQGEGNLELNWLLGKDVQCTKAPVPIDDNFCGLDINQPLGGSVPV
DGVTLFTSSRDRMTSVASYIYNGYSVVFVGTKNGKVKKIRADGPPHGGIQYEVVTVFKDG
SPVLRDMAFSIDHKYLYVMSERQVSRVPVESCEQYTTCAECLSSGDPHCGWCTLHHTCSP
RDSCERADEPHRFADSIGQCMSIMVQPSSISVSQHSLPLSLLVSDAPDLAAGVTCLFGNL
TEVEGQVVGSRVVCVSPAARDVPAIPVDQDWFGVVLQLKSQETGRTFVSTEFKFYNCSAH
QLCLSCVNSAFRCHWCKYRNLCTHDPTTCSFQEGRINISEDCPQLFPTEEILIPVGEVKP
ITLKARNLPQPQSGQRGYECVLSIQGVIHRVPALRFNSSSVQCQNSSYLYDGMDISNLAV
DFAVVWNGNFVIDNPEDVKVHLYKCAAQRESCGLCLKADPKFECGWCSGEGRCTLRPHCS
PQPWLDWSSRNKCSNPRITEILTVSGPPEGGTRVTIRGINLGLDFSEIARGVQVAGVPCA
PLPEQYIIAEQIVCEMGQALPGISSGPVLLCIGECKPEFTAKSVQHYTFVTPTVSFLSPS
RGPESGGTLVTITGHHLGAGSHVSVLLGNQSCAFQGRSMNEIVCLSASSAHGLGPVHVSV
SIDRAQLEQTLMFEYIDDPKVQNIEPEWSIASGHTPLTITGSNLDIIQEPRIRVKHNGRE
SINVCVVLNATALSCLAPALAPEPRPTMDAVERPDEFGFIFNNVQSLRVYNDTKFIYYPN
PTFEPLSSTGMLEQKPGSPIILKGKNLCPPASGGAKLNYTVLVGETPCTVTVSETQLLCE
PPTLSGQHKVTVRVGGIIFSPGSVSITSDSLLTLPAIVSIAAGGSLLLIIVIIVLIAYKR
KSRENDLTLKRLQMQMDNLESRVALECKEAFAELQTDINELTSDLDRSGIPYLDYRTYAM
RVLFPGIEDHPVLRELEVQGNGQQSVEKALKLFAQLINNKVFLLTFIRTLELQRSFSMRD
RGNVASLIMTGLQGRLEYATDVLKQLLSDLIEKNLENKNHPKLLLRRTESVAEKMLTNWF
AFLLHKFLKECAGEPLFMLYCAIKQQMEKGPIDAITGEARYSLSEDKLIRQQIEYKTLIL
NCVNPDNENSPEIPVKVLNCDTITQVKEKILDAVYKNVPYSQRPRAVDMDLEWRQGRIAR
VVLQDEDITTKIEGDWKRLNTLLHYQVSDRSVVALVPKQTSSYNIPASASISRTSISRYD
STFRYTGSPDSLRSRAPMITPDLESGVKVWHLVKNHDHGDQKEGDRGSKMVSEIYLTRLL
ATKGTLQKFVDDLFETLFSTVHRGSALPLAIKYMFDFLDEQADKHGIHDTDVRHTWKSNC
LPLRFWVNVIKNPQFVFDIHKGSITDACLS
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Domain architecture

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