SBC logo Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden.

NucPred

Fetching Q9BZA8 from www.uniprot.org...

The NucPred score for your sequence is 0.39 (see score help below)

   1  MFRVGFLIISSSSSLSPLLLVSVVRVNTTNCHKCLLSGTYIFAVLLVCVV    50
  51  FHSGAQEKNYTIREEIPENVLIGNLLKDLNLSLIPNKSLTTTMQFKLVYK   100
 101  TGDVPLIRIEEDTGEIFTTGARIDREKLCAGIPRDEHCFYEVEVAILPDE   150
 151  IFRLVKIRFLIEDINDNAPLFPATVINISIPENSAINSKYTLPAAVDPDV   200
 201  GINGVQNYELIKSQNIFGLDVIETPEGDKMPQLIVQKELDREEKDTYVMK   250
 251  VKVEDGGFPQRSSTAILQVSVTDTNDNHPVFKETEIEVSIPENAPVGTSV   300
 301  TQLHATDADIGENAKIHFSFSNLVSNIARRLFHLNATTGLITIKEPLDRE   350
 351  ETPNHKLLVLASDGGLMPARAMVLVNVTDVNDNVPSIDIRYIVNPVNDTV   400
 401  VLSENIPLNTKIALITVTDKDADHNGRVTCFTDHEIPFRLRPVFSNQFLL   450
 451  ENAAYLDYESTKEYAIKLLAADAGKPPLNQSAMLFIKVKDENDNAPVFTQ   500
 501  SFVTVSIPENNSPGIQLMKVSATDADSGPNAEINYLLGPDAPPEFSLDRR   550
 551  TGMLTVVKKLDREKEDKYLFTILAKDNGVPPLTSNVTVFVSIIDQNDNSP   600
 601  VFTHNEYKFYVPENLPRHGTVGLITVTDPDYGDNSAVTLSILDENDDFTI   650
 651  DSQTGVIRPNISFDREKQESYTFYVKAEDGGRVSRSSSAKVTINVVDVND   700
 701  NKPVFIVPPYNYSYELVLPSTNPGTVVFQVIAVDNDTGMNAEVRYSIVGG   750
 751  NTRDLFAIDQETGNITLMEKCDVTDLGLHRVLVKANDLGQPDSLFSVVIV   800
 801  NLFVNESVTNATLINELVRKSIEAPVTPNTEIADVSSPTSDYVKILVAAV   850
 851  AGTITVVVVIFITAVVRCRQAPHLKAAQKNMQNSEWATPNPENRQMIMMK   900
 901  KKKKKKKHSPKNLLLNVVTIEETKADDVDSDGNRVTLDLPIDLEEQTMGK   950
 951  YNWVTTPTTFKPDSPDLARHYKSASPQPAFQIQPETPLNLKHHIIQELPL  1000
1001  DNTFVACDSISNCSSSSSDPYSVSDCGYPVTTFEVPVSVHTRPSQRRVTF  1050
1051  HLPEGSQESSSDGGLGDHDAGSLTSTSHGLPLGYPQEEYFDRATPSNRTE  1100
1101  GDGNSDPESTFIPGLKKEITVQPTVEEASDNCTQECLIYGHSDACWMPAS  1150
1151  LDHSSSSQAQASALCHSPPLSQASTQHHSPPVTQTIVLCHSPPVTQTIAL  1200
1201  CHSPPPIQVSALHHSPPLVQGTALHHSPPSAQASALCYSPPLAQAAAISH  1250
1251  SSSLPQVIALHRSQAQSSVSLQQGWVQGANGLCSVDQGVQGSATSQFYTM  1300
1301  SERLHPSDDSIKVIPLTTFAPRQQARPSRGDSPIMETHPL            1340

Positively and negatively influencing subsequences are coloured according to the following scale:

(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)

with NucPred



If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
The authors also look forward to your comments and suggestions.

What does the NucPred score mean?

You have to decide on a NucPred score threshold. Sequences which score greater than or equal to this threshold are predicted to spend some time in the nucleus. Higher thresholds yield fewer predicted nuclear proteins, but these predictions are more accurate (you can have higher confidence in them). The table below gives more details of the performance of NucPred estimated using the sequences it was trained on (by cross-validation). Another benchmark is available in the Bioinformatics 2007 paper.

NucPred score threshold Specificity Sensitivity
see above fraction of proteins predicted to be nuclear that actually are nuclear fraction of true nuclear proteins that are predicted (coverage)
0.10 0.45 0.88
0.20 0.52 0.83
0.30 0.57 0.77
0.40 0.63 0.69
0.50 0.70 0.62
0.60 0.71 0.53
0.70 0.81 0.44
0.80 0.84 0.32
0.90 0.88 0.21
1.00 1.00 0.02

Sequences which score >= 0.8 with NucPred and which are predicted by PredictNLS to contain an NLS have been shown to be 93% correct with a coverage of 16%. (PredictNLS by itself is 87% correct with 26% coverage on the same data.)

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