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

NucPred

Fetching Q6T3U4 from www.uniprot.org...

The NucPred score for your sequence is 0.46 (see score help below)

   1  MAAAWQGWLLWALLLNSAQGELYTPTHKAGFCTFYEECGKNPELSGGLTS    50
  51  LSNISCLSNTPARHVTGDHLALLQRVCPRLYNGPNDTYACCSTKQLVSLD   100
 101  SSLSITKALLTRCPACSENFVSIHCHNTCSPDQSLFINVTRVVQRDPGQL   150
 151  PAVVAYEAFYQRSFAEKAYESCSRVRIPAAASLAVGSMCGVYGSALCNAQ   200
 201  RWLNFQGDTGNGLAPLDITFHLLEPGQALADGMKPLDGKITPCNESQGED   250
 251  SAACSCQDCAASCPVIPPPPALRPSFYMGRMPGWLALIIIFTAVFVLLSV   300
 301  VLVYLRVASNRNKNKTAGSQEAPNLPRKRRFSPHTVLGRFFESWGTRVAS   350
 351  WPLTVLALSFIVVIALSVGLTFIELTTDPVELWSAPKSQARKEKAFHDEH   400
 401  FGPFFRTNQIFVTAKNRSSYKYDSLLLGPKNFSGILSLDLLQELLELQER   450
 451  LRHLQVWSHEAQRNISLQDICYAPLNPHNTSLTDCCVNSLLQYFQNNHTL   500
 501  LLLTANQTLNGQTSLVDWKDHFLYCANAPLTYKDGTALALSCIADYGAPV   550
 551  FPFLAVGGYQGTDYSEAEALIITFSINNYPADDPRMAHAKLWEEAFLKEM   600
 601  QSFQRSTADKFQIAFSAERSLEDEINRTTIQDLPVFAISYLIVFLYISLA   650
 651  LGSYSRWSRVAVDSKATLGLGGVAVVLGAVVAAMGFYSYLGVPSSLVIIQ   700
 701  VVPFLVLAVGADNIFIFVLEYQRLPRMPGEQREAHIGRTLGSVAPSMLLC   750
 751  SLSEAICFFLGALTSMPAVRTFALTSGLAIIFDFLLQMTAFVALLSLDSK   800
 801  RQEASRPDVVCCFSSRNLPPPKQKEGLLLCFFRKIYTPFLLHRFIRPVVL   850
 851  LLFLVLFGANLYLMCNISVGLDQDLALPKDSYLIDYFLFLNRYLEVGPPV   900
 901  YFDTTSGYNFSTEAGMNAICSSAGCESFSLTQKIQYASEFPNQSYVAIAA   950
 951  SSWVDDFIDWLTPSSSCCRIYTRGPHKDEFCPSTDTSFNCLKNCMNRTLG  1000
1001  PVRPTTEQFHKYLPWFLNDTPNIRCPKGGLAAYRTSVNLSSDGQIIASQF  1050
1051  MAYHKPLRNSQDFTEALRASRLLAANITAELRKVPGTDPNFEVFPYTISN  1100
1101  VFYQQYLTVLPEGIFTLALCFVPTFVVCYLLLGLDIRSGILNLLSIIMIL  1150
1151  VDTIGLMAVWGISYNAVSLINLVTAVGMSVEFVSHITRSFAVSTKPTRLE  1200
1201  RAKDATIFMGSAVFAGVAMTNFPGILILGFAQAQLIQIFFFRLNLLITLL  1250
1251  GLLHGLVFLPVVLSYLGPDVNQALVLEEKLATEAAMVSEPSCPQYPFPAD  1300
1301  ANTSDYVNYGFNPEFIPEINAASSSLPKSDQKF                   1333

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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