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

NucPred

Fetching Q80Y50 from www.uniprot.org...

The NucPred score for your sequence is 0.92 (see score help below)

   1  MNTKDTTEVAENSHHLKIFLPKKLLECLPRCPLLPPERLRWNTNEEIASY    50
  51  LITFEKHDEWLSCAPKTRPQNGSIILYNRKKVKYRKDGYLWKKRKDGKTT   100
 101  REDHMKLKVQGMEPVSWQCLYGCYVHSSIVPTFHRRCYWLLQNPDIVLVH   150
 151  YLNVPALEDCGKGCSPIFCSISSDRREWLKWSREELLGQLKPMFHGIKWS   200
 201  CGNGAEEFSVEQLVQQILDTHPTKPAPRTHACLCSGGLGSGSLTHKCSST   250
 251  KHRIISPKVEPRALALASISHSKPPEPPPLIAPLPPELPKAHTSPSSSSS   300
 301  SSSSSGFAEPLEIRPSPPTSRGGSSRGGTAILLLTGLEQRAGGLTPTRHL   350
 351  APQAEPRPPVSLAVVVGSEPSAPPAPPSPAFDPDRFLNSPQRGQTYGGGQ   400
 401  GVNPDFPEAEGTHTPCPALEPAAALEPQAAARGLAPQLGANGRRGNKFFI   450
 451  QDDDSGEELKGPGTVPPVPSSPPSSPSSPTALPPSGRATRGEALFGGSAG   500
 501  SSSELEPFSLSSFPDLMGELISDEAPGVPAPAPQLSPALNAITDFSPEWS   550
 551  YPEGGVKVLITGPWTEAAEHYSCVFDHIAVPASLVQPGVLRCYCPAHEVG   600
 601  LVSLQVAGREGPLSASVLFEYRARRFLSLPSTQLDWLSLDDSQFRMSILE   650
 651  RLEQMEKRMAEIAAAGQAPGQGPEAPPIQDEGQGPGFEARVVVLVESMIP   700
 701  RSTWRGPERLIHGSPFRGMSLLHLAAAQGYARLIETLSQWRSVETGSLDL   750
 751  EQEVDPLNVDHFSCTPLMWACALGHLEAAVLLFCWNRQALSIPDSLGRLP   800
 801  LSVAHSRGHVRLARCLEELQRQELSVEHPLALSPPSSSPDTGLSSASSPS   850
 851  ELSDGTFSVTSAYSSAPDGSPPPAPPLASDISMEMIPGQLSCGAPETPLL   900
 901  LMDYEATNSKEPAPSPCGPPLAQDNGAAPEDADSPPAVDVIPVDMISLAK   950
 951  QIIDATPERIKREDFSEFPDAGASPREHTGTVGLSETMSWLASYLENVDH  1000
1001  FPSSAPPSELPFERGRLAIPPAPSWAEFLSASTSGKMESDFALLTLSDHE  1050
1051  QRELYEAARVIQTAFRKYKGRRLKEQQEVAAAVIQRCYRKYKQLTWIALK  1100
1101  FALYKKMTQAAILIQSKFRSYYEQKRFQQSRRAAVLIQQHYRSYRRRPGP  1150
1151  PHRPSGPLPARNKGTFLTKKQDQAARKIMRFLRRCRHRMRELKQNQELEG  1200
1201  LPQPGLAT                                            1208

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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