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

NucPred

Fetching P25455 from www.uniprot.org...

The NucPred score for your sequence is 0.92 (see score help below)

   1  MMSAGGTYISTASVEVPQALQDGEKFIRWDDDSGTGTPVTMRVDAKGFFL    50
  51  YWVDQNNELDILDIATIRDVRTGQYAKRPKDNKLRQIVTLGPQDTLEEKT   100
 101  VTVCHGSDFVNMTFVNFCCTRRDIAQLWTDGLIKLAYSLAQLNGSAIMFL   150
 151  QKAHTKLCLQVDKSGRIPVKNIIKLFAQNKEDRKRVEKALDVTGLPSGKV   200
 201  DSISVSKFQFEDFYNLYKYLTQRSEVERLFDSIVGNSKRKCMSIAQLVEF   250
 251  LNKTQRDPRLNEILYPYANPARAKELIQQYEPNKFNAQKGQLSLDGFLRY   300
 301  LMGDDNPIMAPSKLDLCDDMDQPMSHYFINSSHNTYLTGHQLTGKSSVEI   350
 351  YRQCLLAGCRCVELDFWNGRTEEPVIVHGYTFVPEIFAKDVLEAIAESAF   400
 401  KTSEYPVILSFENHCNPRQQAKIANYCREIFGDMLLDKPLDSHPLEPNMD   450
 451  LPPPAMLRRKIIIKNKKKHHHHHHHHHHKKPAQVGTPAANNKLTTANSVD   500
 501  AKAAQQVGLSASHEDGGVTRSTANGDVATGTGTGSAAGTAGHAPPLQQIR   550
 551  QSSKDSTGSSDSDSSSEDESLPNTTPNLPSGNEPPPEKAQKETEAGAEIS   600
 601  ALVNYVQPIHFSSFENAEKKNRCYEMSSFDEKQATTLLKERPIEFVNYNK   650
 651  HQLSRVYPAGTRFDSSNFMPQLFWNAGCQLVALNFQTLDLAMQLNLGIFE   700
 701  YNARSGYLLKPEFMRRSDRRLDPFAESTVDGIIAGTVSITVLSGQFLTDK   750
 751  RANTFVEVDMYGLPADTVRKKFRTKTVRDNGMNPLYDEEPFVFKKVVLPE   800
 801  LASIRIAAYEEGGKLIGHRVLPVIGLCPGYRHVNLRSEVGQPIALASLFL   850
 851  CVVVKDYVPDDLSNFAEALANPIKYQSELEKRDIQLSVLTDEAEALGSAD   900
 901  EDLSKSFVFVQVGGQKKELRPVESLATSPKHRPSISAAAAMSVDVTVDRT   950
 951  DGGRGEDSISIVAPSIQHQHSLDQSVSTSIRQVESSQFDVDLVLAEPLEK  1000
1001  ILDHKSVKEKRLEMEKKLESLRKKHDKEKIKIAGQKSSPLEGKKPKFAIT  1050
1051  NKLVKRLSNKSLNCLSPHSEPGVEIPACPLDLGDSSEESAAADAGEDLAG  1100
1101  GSSSLDGRTQESRLRSACREYTSQYRELQEKYHEAIYSAAEKVLKTSQTG  1150
1151  QTKQLKASLDKVTGEVMHQLQEARRNEVKNLATVHRDRDELIRMKREVAS  1200
1201  SVVERGVAERVRLKQTFDRRTDELQKQHDSVRNALAEHRSKARQILDKEA  1250
1251  ESRSCVSSNGFLVLFHGPHHHGCTGSGSSALSGNNLTLNLDAGAAGSHSA  1300
1301  ISPAKSHNSIAAAAEMKT                                  1318

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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