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

NucPred

Fetching P39928 from www.uniprot.org...

The NucPred score for your sequence is 0.60 (see score help below)

   1  MRFGLPSKLELTPPFRIGIRTQLTALVSIVALGSLIILAVTTGVYFTSNY    50
  51  KNLRSDRLYIAAQLKSSQIDQTLNYLYYQAYYLASRDALQSSLTSYVAGN   100
 101  KSADNWVDSLSVIQKFLSSSNLFYVAKVYDSSFNAVLNATNNGTGDLIPE   150
 151  DVLDSLFPLSTDTPLPSSLETIGILTDPVLNSTDYLMSMSLPIFANPSII   200
 201  LTDSRVYGYITIIMSAEGLKSVFNDTTALEHSTIAIISAVYNSQGKASGY   250
 251  HFVFPPYGSRSDLPQKVFSIKNDTFISSAFRNGKGGSLKQTNILSTRNTA   300
 301  LGYSPCSFNLVNWVAIVSQPESVFLSPATKLAKIITGTVIAIGVFVILLT   350
 351  LPLAHWAVQPIVRLQKATELITEGRGLRPSTPRTISRASSFKRGFSSGFA   400
 401  VPSSLLQFNTAEAGSTTSVSGHGGSGHGSGAAFSANSSMKSAINLGNEKM   450
 451  SPPEEENKIPNNHTDAKISMDGSLNHDLLGPHSLRHNDTDRSSNRSHILT   500
 501  TSANLTEARLPDYRRLFSDELSDLTETFNTMTDALDQHYALLEERVRART   550
 551  KQLEAAKIEAEAANEAKTVFIANISHELRTPLNGILGMTAISMEETDVNK   600
 601  IRNSLKLIFRSGELLLHILTELLTFSKNVLQRTKLEKRDFCITDVALQIK   650
 651  SIFGKVAKDQRVRLSISLFPNLIRTMVLWGDSNRIIQIVMNLVSNALKFT   700
 701  PVDGTVDVRMKLLGEYDKELSEKKQYKEVYIKKGTEVTENLETTDKYDLP   750
 751  TLSNHRKSVDLESSATSLGSNRDTSTIQEEITKRNTVANESIYKKVNDRE   800
 801  KASNDDVSSIVSTTTSSYDNAIFNSQFNKAPGSDDEEGGNLGRPIENPKT   850
 851  WVISIEVEDTGPGIDPSLQESVFHPFVQGDQTLSRQYGGTGLGLSICRQL   900
 901  ANMMHGTMKLESKVGVGSKFTFTLPLNQTKEISFADMEFPFEDEFNPESR   950
 951  KNRRVKFSVAKSIKSRQSTSSVATPATNRSSLTNDVLPEVRSKGKHETKD  1000
1001  VGNPNMGREEKNDNGGLEQLQEKNIKPSICLTGAEVNEQNSLSSKHRSRH  1050
1051  EGLGSVNLDRPFLQSTGTATSSRNIPTVKDDDKNETSVKILVVEDNHVNQ  1100
1101  EVIKRMLNLEGIENIELACDGQEAFDKVKELTSKGENYNMIFMDVQMPKV  1150
1151  DGLLSTKMIRRDLGYTSPIVALTAFADDSNIKECLESGMNGFLSKPIKRP  1200
1201  KLKTILTEFCAAYQGKKNNK                                1220

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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