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

NucPred

Fetching Q9Y7U5 from www.uniprot.org...

The NucPred score for your sequence is 0.97 (see score help below)

   1  MKLSNELFHRSSKDHGGKSRICLDSSEDTYPPHSSSPPSFQKRLSFSDFS    50
  51  TTRLFSPPFLSKRSNNSPHRFSYSPPQHPASINSRRVASYTVQSSPSRTT   100
 101  YRQLPNEPQNSAAYTTYSSFPNALFDDFSPNNPLDTDPFLTSPGNKQNTV   150
 151  DSFRPLPETPVSPGGSLVHPLPRPPLPSSVSSHSSPYSTTSSTSLYSLYN   200
 201  DISLSCSPEPYLPLSPTRSPARTPSPIRLYSSDALRPQSPLSPSVEYLTP   250
 251  PNPYSLKSDISSTRQLPKIPVQDYASGKISSPLITRTHRRAQSETLFSSC   300
 301  REPWLVGKLYKWCKEEVFTALGGLVHEGVSRREVAQVMATLFTIHIASME   350
 351  FLIAEIIAKNILGDWINYGLVEVINLEKLQIAFTSNEPPSGSGVLPFLTN   400
 401  GGCYSYICRSRSCPSKYQCYSCRCARNSSLEFTSLPGQSSDTWSIFWNIS   450
 451  SLNSLPSSLSKREIARQNNIHELICKESDYVADLNTLAELFRDGIVQQQD   500
 501  AIVPSNRVADFIQSVFGNVESIRQLHSRLFLPQLIMRERLQGPVVSIIGD   550
 551  ILLEWIHAAKSSYINYAKQFPLADETYKLECQRNTYFARWLAACRSDPRC   600
 601  RRLDFQHFLQRPTQRLQRYTLELDTILKHTEQSSWDFQLITQAVKELRAT   650
 651  CEECDAVIATVLEANRIRDLSYQLLFKNHESVNLELRDPEREFFFEGIVQ   700
 701  RRSDSRLDWLDIHLFLLDNYLIMAKARKDKRTNASRYVVSKRPIPLDLLV   750
 751  LSPKMDDFQLKSNTNKFLGSLAGNLPQESLTTKSKRKSKVNLELMFDATA   800
 801  EKNNENSMNSAVFEKSQLYPFTIRHLGAYTASYTLYVESLQLRKLWVEKI   850
 851  NVAKKRHSQKINIKNPFALKVVSDVAFQYPPSDLVNGNEPLNSFNEITLV   900
 901  EGSSIDRALNEVAWKHPIVSEELLPEPIAYGDISCIAQFNDYEGHVSVLI   950
 951  ATSTGIFLGAFGDSSDIRDWKKISSQRRVTQLGVVEEFDILLELRDKTLY  1000
1001  AHKLSRIIEMGLIESKIAVVIGTPHAVSFFKIGKLSEGASVKRERTLVFY  1050
1051  KEGLGNTTTIICCEPVIGLGHNYQKTYAFKRKDVTSFRTLDDFHVTANCH  1100
1101  SIDCFKYSIALCHNKGIDVLRLDPKLAVGFPSPSVLNDTLFRNRINNSKP  1150
1151  LGVFRIHDPSLFACCYQFGAVFVNGEGSMVNKECWFDWIGKPNSVTSCHG  1200
1201  YLIAFNDEFVEIWNTRTRKLNQIIQGNDIKYYPSNSDWLANGKYIMFGMV  1250
1251  HPQYHDRHLILALNKAKTNSFIIED                           1275

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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