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

NucPred

Fetching Q6GLR7 from www.uniprot.org...

The NucPred score for your sequence is 0.89 (see score help below)

   1  MLDPSSSEEEAEEVVEEPEIKEGQAPTTGTRLSPSRTSESSGGLQPSSRS    50
  51  SSVRPSSPSPSVVSEKEKEELEKLQKEEEERKRKLQLYVFVMRCIAYPFN   100
 101  AKQPTDMARRQQKISKQQLQTVKDRFQAFFNGETQIVADEAFMNAVQSYY   150
 151  EVFLKSDRVARMVQSGGCSANDSREVFKKHIEKRVRSLPEIDGLSKETVL   200
 201  SSWIAKFDAIYRGEEDPRKQQARMTASAASELILSKEQLYEMFQQILGIK   250
 251  KFEHQLLYNACQLDNLDEQAAQIRRELDGRLQMADQIARERKFPKFVSKE   300
 301  MENMYIEELKSSVNLLMANLESMPVSKGGSEFKLQKLKRSHNTSIIDMGE   350
 351  ENENQLSKSDVVLSFSLEVVIMEVQGLKSLAPNRIVYCTMEVEGGQKLQT   400
 401  DQAEASKPMWGTQGDFSTTHALPAVKVKLFTESTGVLALEDKELGRVVLH   450
 451  PTPNSPKQSEWHKMTVSKNCPDHDLKIKLAVRMDKPQNMKHCGYLWVIGK   500
 501  NVWKRWKKRFFVLVQVSQYTFAMCSYREKKAEPQELLQLDGYTVDYTDPQ   550
 551  PGLEGGRSFFNAVKEGDTVIFASDDEQDRILWVQAMYRATGQSHKPVPPT   600
 601  QVQKLNAKGGNIPQLDAPISQFYADRAQKHGMDEFISSNPCNFDHATLFE   650
 651  MVQRLTLDHRLNDSYSCLGWFSPGQVFVLDEYCARYGVRGCHRHLCYLGD   700
 701  LLERAENGSMVDPTLLHYSFAFCASHVHGNRPDGIGTVTVEEKERFEEIK   750
 751  ERLRLLLENQITHFRYCFPFGRPEGALKATLSLLERVLMKDIVTPVPQED   800
 801  VKNVIRKCLEQAALVNYTRLSEYAKIEENQKDAENVGRLITPAKKLEDTI   850
 851  RLAELVIEVLQQNEEHHAEAFAWWSDLMVEHAETFLSLFAVDMDAALEVQ   900
 901  PPDSWESFPLFQLINDFLRSDYNLCNGKFHKHLQDLFAPLVVRYVDLMES   950
 951  SIAQSIHRGFERESWEPVKSLTSNLPNVNLPNVNLPKVPVTLPVNLPQMP  1000
1001  SFSAPSWMAAIYDSDNGSATSEDLFWKLDALQTFIRDLHWPEEEFGKHLE  1050
1051  QRLKLMASDMIESCVKRTRIAFEVKLQKTSRSTDFRVPQSICTMFNVMVD  1100
1101  AKAQSTKLCSMEMGQEHQYHSKIDELIEETVKEMITLLVAKFVTILEGVL  1150
1151  SKLSRYDEGTLFSSFLSFTKPGMDLADAYVTFIRHSQDVLRDKVNEEIYI  1200
1201  ERLFDQWYTSSMNVVCTWLTDRMDLQLHIYQLKTLIRIVKKTYRDFRLQG  1250
1251  VLDSTLNSKTYDTVRNRLTVEEATASVSEGGGLQGITMKDSDEEDEEDD   1299

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.