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

NucPred

Fetching Q86UW7 from www.uniprot.org...

The NucPred score for your sequence is 0.74 (see score help below)

   1  MLDPSSSEEESDEGLEEESRDVLVAAGSSQRAPPAPTREGRRDAPGRAGG    50
  51  GGAARSVSPSPSVLSEGRDEPQRQLDDEQERRIRLQLYVFVVRCIAYPFN   100
 101  AKQPTDMARRQQKLNKQQLQLLKERFQAFLNGETQIVADEAFCNAVRSYY   150
 151  EVFLKSDRVARMVQSGGCSANDFREVFKKNIEKRVRSLPEIDGLSKETVL   200
 201  SSWIAKYDAIYRGEEDLCKQPNRMALSAVSELILSKEQLYEMFQQILGIK   250
 251  KLEHQLLYNACQLDNADEQAAQIRRELDGRLQLADKMAKERKFPKFIAKD   300
 301  MENMYIEELRSSVNLLMANLESLPVSKGGPEFKLQKLKRSQNSAFLDIGD   350
 351  ENEIQLSKSDVVLSFTLEIVIMEVQGLKSVAPNRIVYCTMEVEGEKLQTD   400
 401  QAEASRPQWGTQGDFTTTHPRPVVKVKLFTESTGVLALEDKELGRVILYP   450
 451  TSNSSKSAELHRMVVPKNSQDSDLKIKLAVRMDKPAHMKHSGYLYALGQK   500
 501  VWKRWKKRYFVLVQVSQYTFAMCSYREKKSEPQELMQLEGYTVDYTDPHP   550
 551  GLQGGCMFFNAVKEGDTVIFASDDEQDRILWVQAMYRATGQSYKPVPAIQ   600
 601  TQKLNPKGGTLHADAQLSGKDADRFQKHGMDEFISANPCKLDHAFLFRIL   650
 651  QRQTLDHRLNDSYSCLGWFSPGQVFVLDEYCARYGVRGCHRHLCYLAELM   700
 701  EHSENGAVIDPTLLHYSFAFCASHVHGNRPDGIGTVSVEEKERFEEIKER   750
 751  LSSLLENQISHFRYCFPFGRPEGALKATLSLLERVLMKDIATPIPAEEVK   800
 801  KVVRKCLEKAALINYTRLTEYAKIEETMNQASPARKLEEILHLAELCIEV   850
 851  LQQNEEHHAEGREAFAWWPDLLAEHAEKFWALFTVDMDTALEAQPQDSWD   900
 901  SFPLFQLLNNFLRNDTLLCNGKFHKHLQEIFVPLVVRYVDLMESSIAQSI   950
 951  HRGFEQETWQPVKNIANSLPNVALPKVPSLPLNLPQIPNISTASWMPSLY  1000
1001  ESTNGSATSEDLFWKLDALQMFVFDLHWPEQEFAHHLEQRLKLMASDMLE  1050
1051  ACVKRTRTAFELKLQKASKTTDLRIPASVCTMFNVLVDAKKQSTKLCALD  1100
1101  GGQEQQYHSKIDDLIDNSVKEIISLLVSKFVSVLEGVLSKLSRYDEGTFF  1150
1151  SSILSFTVKAAAKYVDVPKPGMDLADTYIMFVRQNQDILREKVNEEMYIE  1200
1201  KLFDQWYSSSMKVICVWLTDRLDLQLHIYQLKTLIKIVKKTYRDFRLQGV  1250
1251  LEGTLNSKTYDTVHRRLTVEEATASVSEGGGLQGITMKDSDEEEEG      1296

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.)

Go back to the NucPred Home Page.