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

NucPred

Fetching P33289 from www.uniprot.org...

The NucPred score for your sequence is 0.40 (see score help below)

   1  MPGITETSQVTGPVLAHVIVTEDPYDASERAFLSTDLYELLFEDYANGSK    50
  51  SGLTLISIQLMGSSLFNEFQTFKVYESEEQLPPNTVNLCNMGNIIDYSSD   100
 101  FTVDSGYVARVDSLVKLDTVIISVLPEVYSLASQSQHQLVDILGGNDQHT   150
 151  VIRQGDYNKDINGKISLCEPTDQGFLESTTKIIVVKENSLNLPLLDQSQD   200
 201  GSLNYEENVKMNLEHSISNYFSLNSLDPENQITTTGVEFSVKCLDSPISV   250
 251  RKTAKSISVAHDSEDESSPKLVEEDISNEDTLLYAFCKTTELAKIGCLSG   300
 301  DIVKMKSGQCQCTTFECNCESCPVQYRYIRIHAFTDPNTYEKGCIYLNPI   350
 351  LSFNLNNPKIVKLCPISIPDKRFELQGFHFSKFIPLAKQVTIARVSSPVT   400
 401  LDRTLQTLFLTNLKTYFESGRKVLSKDQLIPIPVDTLLAKSIFSTYEKLG   450
 451  VDDSQFPTVIPEGKPDAIAWFKVTEVSGELADSASQQFIIDPLKTKMMQS   500
 501  GVVSCSPPKNSQHCNWANYLGCGQMFSFPNVSGVTTSTFEYAKTLRKLIK   550
 551  ATIDPSRLVNLQTTVLLSSLSRAIGKSLLVHSLALECGVHLVEIDGYEVL   600
 601  NPSSESKTIGTIRGKLDRVVEGCTPLIVFIKHIEALTKKSEQQQKDSLAV   650
 651  KINELIDEYTAKPGVLFVASTNDSDNLSDELRAKFKFEIVLGVPSEQERT   700
 701  LIFKYLIDFDQKTTPKVTEGTRELSFAPRNDLSLSSLSLQSAGLTPRDLI   750
 751  SIVENAKTLAVDRVESLAKHHNVSFENMVYSSGGYIKFTPEDVEKSINTA   800
 801  RNKFSDSIGAPRIPNVKWEDVGGLDVVKDEILDTIDMPMKHPELFSNGIK   850
 851  KRSGILFYGPPGTGKTLLAKAIATNFALNFFSVKGPELLNMYIGESEANV   900
 901  RKVFQRARDAKPCVVFFDELDSVAPKRGNQGDSEGVMDRIVSQLLAELDG   950
 951  MSGGDGGDGVFVVGATNRPDLLDEALLRPGRFDKMLYLGVSDTHEKQSKI  1000
1001  MEALSRKFHLHPSVDLDKVAESCPFTFTGADFYALCSDAMLNAMTRIANT  1050
1051  VDEKIKRYNEELPEKSQVSTRWWFDNVATKEDIDVLVTLEDFDKSRKELV  1100
1101  PSVSAEELDHYLRVRQNFEGGKEKKVVQENGQTEHFSNGSANNHITFGDE  1150
1151  QVVEAIDENGNSIIA                                     1165

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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