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

NucPred

Fetching P87061 from www.uniprot.org...

The NucPred score for your sequence is 0.76 (see score help below)

   1  MSFLFKRNKGSAHKPTKPNFSKTSTTPSTSQLKHSHESNVKMSTSTVTEH    50
  51  RKKPTGSGSHITASPWSKLTVRGSSNVLPRYSHASHLYAEGGQEIYIFGG   100
 101  VASDSQPKNDLWVLNLATSQFTSLRSLGETPSPRLGHASILIGNAFIVFG   150
 151  GLTNHDVADRQDNSLYLLNTSSLVWQKANASGARPSGRYGHTISCLGSKI   200
 201  CLFGGRLLDYYFNDLVCFDLNNLNTSDSRWELASVVNDPPPARAGHVAFT   250
 251  FSDKLYIFGGTDGANFFNDLWCYHPKQSAWSKVETFGVAPNPRAGHAASV   300
 301  VEGILYVFGGRASDGTFLNDLYAFRLSSKHWYKLSDLPFTPSPRSSHTLS   350
 351  CSGLTLVLIGGKQGKGASDSNVYMLDTSRFRLGSVPTTSGRQRNTSFFSN   400
 401  STGNTNPSAFNGLLTSSRIPSYNGSKVRSTSHPSRQQYIGSSNSRFNTRH   450
 451  QTISTPVSGRASNDLPSPVVPTRSNSSSILQPSYNLNSHSSDRRNTNDDD   500
 501  QSSLNSQQLSNQAKAQGEVSPTLSFVPSSHSMEQGNGSVASANNAQSEAA   550
 551  TRSINSISEVSEVRFPEQSSVKTVDERKSLDGRITSVTLETLVEKYSELS   600
 601  KQQIVEWFKSKLYEILRDSASKIDSLTEKLKVANAEKNAALCEAALEKVP   650
 651  LAKHNKLSDGTFSTPDKENVQSTNDAHIMQENFSLHKALEVMRETSSDLD   700
 701  KQLKDATASQKELIVQTSSFQKELVEERERHNAISKRLQEIESLYRDREL   750
 751  LVTNLEDQLVDQTVTINKFAFERDQFRERSMGFENTIKDLTRKMEATDML   800
 801  NVSLHESLRSVQTENSELVTEMALLKAELVKKQAIIDANANIYDKLTADH   850
 851  TNYETVSADINQNLKETLDKLLNGSSDFKNNEIELLHDQIRITNAKLEKR   900
 901  EKLINASKYIEDTLRSEIQEAAEKVSNLEFSNFNLKEENSNMQLQLMKAL   950
 951  EQRNTGAKQLVNLRMQLSTATSELDMLKLKLRTTALALEESPDDYSDILS  1000
1001  ILRADMSPFHDLHKQCGVLIDTLNGVKRGFGIFEKKFTDYHKFLENISDK  1050
1051  LKSEEDTSLETPIHENQSIQSDQIKEVGEVLSAIKSLSDSVMLLKNQIDD  1100
1101  LAKEKLPLSSSDDEKVNIKEKTDFMKLLVKSGLSNPPAKEPVHDNEN     1147

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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