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

NucPred

Fetching Q9HDV6 from www.uniprot.org...

The NucPred score for your sequence is 0.73 (see score help below)

   1  MSLNEIAHDQPVENGPLYSEKQDHTAVDYALHILFTQFVRLSEQKISFLS    50
51 RYHANEGKNAEPVRFNVGEQEAILLLKKGEDNEFDRCIQALVALASSKPV 100
101 AVIESLLCWRKVRVDITSSSGTPRVVNERRSSISIYILCRVLTEIAETIP 150
151 SNALEESTVSCLLECVFHQLLSAKNLPVSSSYFSLANWESFAFLVGSMSR 200
201 FNFVMVSDRFIEEIEHLEKSGCDSRQKETVLVHLLRAMRYLRLQLYPTTL 250
251 LEESIAFLQSLTSFFMKANTALKIEYAYLMEQLLRPLISRATFEVNIPAW 300
301 SRTIETIYPVVLKMCTKTKYWNVFFPFCCTLLCLSPKQFFLKHWISSLDA 350
351 AFFRVKDRRLRNTGLPHLSRVVWTYSNQYKEEPSIMNSNISNILKSGFSI 400
401 GKKFSVVPFATLEELDGYAQIVRVVGAHFPELVIKEILTPLSTDAFTENI 450
451 GPEKLMIVVRSVYYILHDMKYKKSDSTIFEYIEFEFVDLHEVAVGTPLQQ 500
501 FVHNLSQKLLFLVFQLSTNTNCYLDSKNATSLLALYINALKVFPCLMGKL 550
551 EQRVIDAYVKCLNCSNKIIHTVCHNSLIYFSSGLKMSKSVISCLSRKLVK 600
601 GSEYLLRTYHEVIRIWISQQEAVIEKRNSVLSNKSCASSESNTPASVKQD 650
651 YDDIQSWTIIEEIQSLGVLHLSSPSVGIRKFAVALLNDVKQLNTEYLMLS 700
701 SDKVEVGDIYSEPTIVDVLKDCDSSILSVESHLPTAAERSRLRKFINDGT 750
751 KDMLLKLATSNSGVDISIWYNVFPRFIKVCFERFPTTMALLRNTVCEKLP 800
801 SITMQLLSRIESSELNFNLKSAVKNDNFPEFLLVQWKLYLIVACCTITYT 850
851 SNVDYSHTDLRRTLTAVQSGNHLRGLQETIKITSAESLFSMVLPLIFTEF 900
901 SPIREAVVFAIGCINVNAFPQLVRSLKPYISVLKQDHQEFIFAGLNFPSV 950
951 KRRNKPDLLLRSEIAHIFAMTSHLLLHELLNEDREALSVISEFLKDLKGF 1000
1001 LSTPNVQADEKYLKLRCYFSQLLEKVLLVQNLHPSSEVLPFSGRASCWKL 1050
1051 LDEWTGFGPARAITKNREELMRAHIRGNNKDIRERDKLLASFEAGKQNLE 1100
1101 YLAIKAMIALCTAKLQQELTEGVFLFDIEILLNWFTAVFGSPSKAIVGLA 1150
1151 RKGLTALLLENSSNEVLLQKVINRCFSKEISQTISNYYFLSLSEMLIQIN 1200
1201 PNNLSKPKLLPLCLVNLSTNNLSVRLKAFELLGNFHLNNFTMTALMEFKT 1250
1251 FLESSNPALYLKPQYLFSVQLASDFTEDSFTLTSECLRYFNYGHQHRRGL 1300
1301 VTVLLPWLQNLELKMDVENKTFDSFTAVILIDLIEVTAKFTNDLPNEIEA 1350
1351 LWTSLALSRHKSNWTVILFFLMQQCYQRKTFSFVDCTRQITIYLAKTELL 1400
1401 SDLYSTLLSFVCPANVSNENQEVYKFSLEDLSSTYVANLEDLFPSEKNHI 1450
1451 SYSPCQLSLLLLMDILPNPSIITVTDDVATILHAAFIQFDHYSRIVQEQC 1500
1501 QQIFQYVVRKVLAMEGRLDYDDAYFDFNVESSLITGLRGKTKKEDDLVKY 1550
1551 HNMILKTIELLSSSYPELKQIWGEVALSWATTCPSRRLACNSFQLFRSLL 1600
1601 PDFDARMLLEIISRLVGTISDETSYLRDYSVEILRTFNSYVLVMNSDDLL 1650
1651 SYSQILWTAIACLTTIHEDEFIESVKIAYAYFLRVEETDSATQQIMETFP 1700
1701 QNWVGDYQGLQILILKGFRSTNSFEITMNFFLLLMDFKDNDLVGVGYLRI 1750
1751 LSCLLVSLPAMVYTYEHSDPITFDLSVFCHKLATLASQFNDDALIELLDT 1800
1801 YLKRKFRSIKDFLKHTVSYLYSYYFEDYELEIVSTLTMFLSNNLTWFRKS 1850
1851 TLDVLKELFPLIDFQKPIYSEHGLGIVSPLLRLLPTGYAMEALSLLTDSV 1900
1901 LHVSAPTDMQTLKLLMVDPKLKNSDDRLAGFFEIPDEDGWYEPNSEYAAA 1950
1951 ITKSNVHAVFYSCSTTEASVSTPEVRFHADEVSNYPRHVPTDSHGSLDEN 2000
2001 SLGELVTTLHSLDVFFAEDRDEELIQPDVAVDPKLDITSEDYDDRIATIL 2050
2051 SGSLRRQKQGLMAYETESFRDYSPNEEIDASAKLPMDMPPVRVRKSSFIS 2100
2101 KLKPHYFMDAESYYPSLKALGNSAEHRLSLDEIRGAAELKQNKNWNSMLD 2150
2151 QSVSMINEDSVEDHETHENYYHLRTMFQGSESNESFTDTTRSRGWH 2196

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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