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

NucPred

Fetching Q4WY31 from www.uniprot.org...

The NucPred score for your sequence is 0.96 (see score help below)

   1  MTARGKNVRIQSLATEDEIFVYDRRFVSEPENVELPELPSPEPFTPDTPP    50
  51  DTLTNQNDLQAWRNLYMARRSWALGLVERCGAMDKSIHEHNERTDIIHRA   100
 101  AGVALENLKTHVGNLENRFQEAQTWANDLLKEQRAALDGWQRALTTLESI   150
 151  PAPKVFPFLGRPSTPKEHRDRPTGTLRDFVDANEVQKAGAEAAAESSRFA   200
 201  RQIDDVAEAVRGITADTQRLIDDQLPSGADAADGLQEMITFAKKISSDYE   250
 251  HVIALPNNQKTLANISRLALTHTQDLLPSMLDISAEIHAGLEEAVRRHNT   300
 301  AMKVALDHMRTISAIELRLADVQSQIINLNVQSDAFDVVFSVYHMPMVYG   350
 351  SILVESVRRREFNEKMKADSLTLAEEMAVFRDEEQRRRKKWLKSMGDFIS   400
 401  LTETTTPGVEINLQGLDYEWPEVSRNDIESYIEHLKSRPAMASLADGLTQ   450
 451  QYKDLDAPTRHQRRRAKAFKQGSIFDLSRSSLLLRSDDMLRSLREEKSKL   500
 501  EEKLKGSESRIRKLEDLLHRQSQLSRPVSGNFNLEFPSSPASPYPDELSR   550
 551  RSSVSSRRMSANQSSEDKTLAQRIVTLEAELNAERETVQRLQKEAHAERL   600
 601  SNTDKIQEAQSTKRDLIDNLEARQREFDEERRYLEGELKKYRLRTEELEE   650
 651  ELDRITDSRDHAKQDADERINQLETELQNLHIHTEEELHRANDLLEQMQA   700
 701  QKMTEESLQQRINELEKQQSEIKATEQENLQTLQAAFMNLSPGGAVPAEI   750
 751  PSIIKAIEVLSEGLSIHVKNAEEKMAEAVAENKALEERMNQLETEVQDAK   800
 801  QSAEQRESELAQVRGELAQEKEKLAAVQSELHDERSKLNALQSQHADGDT   850
 851  GTDALRQRVVEDERKLGILSQRLAEVEAQARESEKEVCAWKNKLKAISES   900
 901  EREATTRIEIRGSRAKELSQQLFEQVEKMEHMLEQLGFTVIRQDGEIVVQ   950
 951  RASKVNASSGIGDSLAQSGVVSVKPDPSLLDWMQAETAQEETDRYMAFLE  1000
1001  SLYQFDVDVFGDAVVKRVKDIELLARKWQKEARGYRDKYHRMQSEAHDKI  1050
1051  AYRSFKEGDLALFLPTRNQAIRSWAAFNVGAPHYFLREQDAHKLQTRDWL  1100
1101  LARITKIEERVVDLSKSMNGAHPDRRSIGGTSDAASIDDENPFELSDGLR  1150
1151  WYLLDANEEKPGAPATPGLGKSTVAPAHVDARGSIRLKRTSNGGNVAKTL  1200
1201  TKSLDSRRNSSSSKKGPPFAISQRANESTAELARPAEANTPLSPSAQEAA  1250
1251  STPEEVRRDQLQGP                                      1264

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.