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

NucPred

Fetching P15381 from www.uniprot.org...

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

   1  MLRALVQPATPAYQPLPSHLSAETESTCKGTVVHEAQLNHFYISPGGSNY    50
51 GSPRPAHANMNANAAAGLAPEHIPTPGAALSWQAAIDAARQAKLMGSAGN 100
101 ATISTVSSTQRKRQQYGKPKKQGSTTATRPPRALLCLTLKNPIRRACISI 150
151 VEWKPFEIIILLTIFANCVALAIYIPFPEDDSNATNSNLERVEYLFLIIF 200
201 TVEAFLKVIAYGLLFHPNAYLRNGWNLLDFIIVVVGLFSAILEQATKADG 250
251 ANALGGKGAGFDVKALRAFRVLRPLRLVSGVPSLQVVLNSIIKAMVPLLH 300
301 IALLVLFVIIIYAIIGLELFMGKMHKTCYNQEGVADVPAEDDPSPCALET 350
351 GHGRQCQNGTVCKPGWDGPKHGITNFDNFAFAMLTVFQCITMEGWTDVLY 400
401 WMQDAMGYELPWVYFVSLVIFGSFFVLNLVLGVLSGEFSKEREKAKARGD 450
451 FQKLREKQQLEEDLKGYLDWITQAEDIDPENEDEGMDEEKPRNMSMPTSE 500
501 TESVNTENVAGGDIEGENCGARLAHRISKSKFSRYWRRWNRFCRRKCRAA 550
551 VKSNVFYWLVIFLVFLNTLTIASEHYNQPHWLTEVQDTANKALLALFTAE 600
601 MLLKMYSLGLQAYFVSLFNRFDCFIVCGGILETILVETKVMSPLGISVLR 650
651 CVRLLRIFKITRYWNSLSNLVASLLNSVRSIASLLLLLFLFIIIFSLLGM 700
701 QLFGGKFNFDEMQTRRSTFDNFPQSLLTVFQILTGEDWNSVMYDGIMAYG 750
751 GPSFPGMLVCIYFIILFICGNYILLNVFLAIAVDNLADAESLTSAQKEEE 800
801 EEKERKKLARTASPEKKQEVVGKPALEEAKEEKIELKSITADGESPPTTK 850
851 INMDDLQPNESEDKSPYPNPETTGEEDEEEPEMPVGPRPRPLSELHLKEK 900
901 AVPMPEASAFFIFSPNNRFRLQCHRIVNDTIFTNLILFFILLSSISLAAE 950
951 DPVQHTSFRNHILFYFDIVFTTIFTIEIALKMTAYGAFLHKGSFCRNYFN 1000
1001 ILDLLVVSVSLISFGIQSSAINVVKILRVLRVLRPLRAINRAKGLKHVVQ 1050
1051 CVFVAIRTIGNIVIVTTLLQFMFACIGVQLFKGKLYTCSDSSKQTEAECK 1100
1101 GNYITYKDGEVDHPIIQPRSWENSKFDFDNVLAAMMALFTVSTFEGWPEL 1150
1151 LYRSIDSHTEDKGPIYNYRVEISIFFIIYIIIIAFFMMNIFVGFVIVTFQ 1200
1201 EQGEQEYKNCELDKNQRQCVEYALKARPLRRYIPKNQHQYKVWYVVNSTY 1250
1251 FEYLMFVLILLNTICLAMQHYGQSCLFKIAMNILNMLFTGLFTVEMILKL 1300
1301 IAFKPKGYFSDPWNVFDFLIVIGSIIDVILSETNPAEHTQCSPSMNAEEN 1350
1351 SRISITFFRLFRVMRLVKLLSRGEGIRTLLWTFIKSFQALPYVALLIVML 1400
1401 FFIYAVIGMQVFGKIALNDTTEINRNNNFQTFPQAVLLLFRCATGEAWQD 1450
1451 IMLACMPGKKCAPESEPHNSTEGETPCGSSFAVFYFISFYMLCAFLIINL 1500
1501 FVAVIMDNFDYLTRDWSILGPHHLDEFKRIWAEYDPEAKGRIKHLDVVTL 1550
1551 LRRIQPPLGFGKLCPHRVACKRLVSMNMPLNSDGTVMFNATLFALVRTAL 1600
1601 RIKTEGNLEQANEELRAIIKKIWKRTSMKLLDQVVPPAGDDEVTVGKFYA 1650
1651 TFLIQEYFRKFKKRKEQGLVGKPSQRNALSLQAGLRTLHDIGPEIRRAIS 1700
1701 GDLTAEEELDKAMKEAVSAASEDDIFRRAGGLFGNHVSYYQSDSRSAFPQ 1750
1751 TFTTQRPLHISKAGNNQGDTESPSHEKLVDSTFTPSSYSSTGSNANINNA 1800
1801 NNTALGRLPRPAGYPSTVSTVEGHGSPLSPAVRAQEAAWKLSSKRCHSQE 1850
1851 SQIAMACQEGASQDDNYDVRIGEDAECCSEPSLLSTEMLSYQDDENRQLA 1900
1901 PPEEEKRDIRLSPKKGFLRSASLGRRASFHLECLKRQKNQGGDISQKTVL 1950
1951 PLHLVHHQALAVAGLSPLLQRSHSPTSLPRPCATPPATPGSRGWPPQPIP 2000
2001 TLRLEGADSSEKLNSSFPSIHCGSWSGENSPCRGDSSAARRARPVSLTVP 2050
2051 SQAGAQGRQFHGSASSLVEAVLISEGLGQFAQDPKFIEVTTQELADACDL 2100
2101 TIEEMENAADDILSGGARQSPNGTLLPFVNRRDPGRDRAGQNEQDASGAC 2150
2151 APGCGQSEEALADRRAGVSSL 2171

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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