|
ENSNLEP00000007935 (Nomascus leucogenys 76_1.0)
(show help)
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 supercontig:Nleu1.0:GL397272.1:32084008:32207331:1 gene:ENSNLEG00000006519 transcript:ENSNLET00000008318 gene_biotype:protein_coding transcript_biotype:protein_coding |
Sequence length |
980 |
Sequence |
AVFWGDIALDDEDLNIFQIDRTIDLTQNPFGNLGHTTGGLGDHAMSKKRGALYQLIDRIR
RIGFGLEQNNTVKGKVPLQFSGQNEKNRVPRAATSRTERIWPGGVIPYVIGGNFTGSQRA
MFKQAMRHWEKHTCVTFIERSDEESYIVFTYRPCGCCSYVGRRGNGPQAISIGKNCDKFG
IVVHELGHVIGFWHEHTRPDRDNHVTIIRENIQPGQEYNFLKMEPGEVNSLGERYDFDSI
MHYARNTFSRGMFLDTILPSRDDNGIRPAIGQRTRLSKGDIAQARKLYRCPACGETLQES
NGNLSSPGFPNGYPSYTHCIWRVSVTPGEKIVLNFTTMDLYKSSLCWYDYIEVRDGYWRK
SPLLGRFCGDKVPEVLTSTDSRMWIEFRSSSNWVGKGFAAVYEAICGGEIRKNEGQIQSP
NYPDDYRPMKECVWKITVSESYHVGLTFQSFEQEHQENPGIASKPRDSLILICKPIERHD
NCAYDYLEVRDGTSENSPLIGRFCGYDKPEDIRSTSNTLWMKFVSDGTVNKAGFAANFFK
EEDECAKPDRGGCEQRCLNTLGSYQCACEPGYELGPDRRSCEAACGGLLTKLNGTITTPG
WPKEYPPNKNCVWQVVAPTQYRISVKFEFFELEGNEVCKYDYVEIWSGLSSESKLHGKFC
GAEVPEVITSQFNNMRIEFKSDNTVSKKGFKAHFFSDKDECSKDNGGCQHECVNTMGSYM
CQCRNGFVLHENKHDCKEAECEQKIHSPSGLITSPNWPDKYPSRKECTWEISATPGHRIK
LAFSEFEIEQHQECAYDHLEVFDGETEKSPILGRLCGNKIPDPLVATGNKMFVRFVSDAS
VQRKGFQATHSTECGGRLKAESKPRDLYSHAQFGDNNYPGQVDCEWLLVSERGSRLELSF
QTFEVEEEADCGYDYVELFDGLDSTAVGLGRFCGSGPPEEIYSIGDAVLIHFHTDDTINK
KGFHIRYKTIRYPDTTHTKK
|
Jump to [ Top · Protein sequence · Domain architecture ]
Domain architecture

1
Jump to [ Top · Protein sequence · Domain architecture ]
|
  
|