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

NucPred

Fetching Q86Y13 from www.uniprot.org...

The NucPred score for your sequence is 0.95 (see score help below)

   1  MDSLPDEFFVRHPAVEDQRKEETENKLEKSSGQLNKQENDIPTDLVPVNL    50
  51  LLEVKKLLNAINTLPKGVVPHIKKFLQEDFSFQTMQREVAANSQNGEEIV   100
 101  PALTLRFLITQLEAALRNIQAGNYTAHQINIGYYLTLLFLYGVALTERGK   150
 151  KEDYTEAENKFLVMKMMIQENEICENFMSLVYFGRGLLRCAQKRYNGGLL   200
 201  EFHKSLQEIGDKNDHWFDIDPTEDEDLPTTFKDLLNNFIKTTESNIMKQT   250
 251  ICSYLDCERSCEADILKNTSYKGFFQLMCSKSCCVYFHKICWKKFKNLKY   300
 301  PGENDQSFSGKKCLKEGCTGDMVRMLQCDVPGIVKILFEVVRKDEYITIE   350
 351  NLGASYRKLISLKITDTDIRPKISLKFNTKDEMPIFKLDYNYFYHLLHII   400
 401  IISGTDIVRQIFDEAMPPPLLKKELLIHKNVLESYYNHLWTNHPLGGSWH   450
 451  LLYPPNKELPQSKQFDLCLLLALIKHLNVFPAPKKGWNMEPPSSDISKSA   500
 501  DILRLCKYRDILLSEILMNGLTESQFNSIWKKVSDILLRLGMMQEDIDKV   550
 551  KENPIENISLDYHQLSVYLGIPVPEIIQRMLSCYQQGIALQSITGSQRIE   600
 601  IEELQNEEEELSPPLMEYNINVKSHPEIQFAEINKDGTSIPSESSTESLK   650
 651  DLQEVKSKQRKKKKTKNKKNKDSKEDQVPYVVEKEEQLRKEQANPHSVSR   700
 701  LIKDDASDVQEDSAMEDKFYSLDELHILDMIEQGSAGKVTTDYGETEKER   750
 751  LARQRQLYKLHYQCEDFKRQLRTVTFRWQENQMQIKKKDKIIASLNQQVA   800
 801  FGINKVSKLQRQIHAKDNEIKNLKEQLSMKRSQWEMEKHNLESTMKTYVS   850
 851  KLNAETSRALTAEVYFLQCRRDFGLLHLEQTEKECLNQLARVTHMAASNL   900
 901  ESLQLKAAVDSWNAIVADVRNKIAFLRTQYNEQINKVKQGFALSTLPPVQ   950
 951  LPPPPPSPEILMQQFLGRPLVKESFFRPILTVPQMPAVCPGVVSATGQPR  1000
1001  APLMTGIAWALPAPVGDAVPPSAGLRSDPSIMNWERITDRLKTAFPQQTR  1050
1051  KELTDFLRKLKDAYGKSLSELTFDEIVCKISQFIDPKKSQSQGKSVSNVN  1100
1101  CVSPSHSPSQPDAAQPPKPAWRPLTSQGPATWEGASNPDEEEEEEEPCVI  1150
1151  CHENLSPENLSVLPCAHKFHAQCIRPWLMQQGTCPTCRLHVLLPEEFPGH  1200
1201  PSRQLPKI                                            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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