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

NucPred

Fetching Q95XZ5 from www.uniprot.org...

The NucPred score for your sequence is 0.98 (see score help below)

   1  MDPNNLQNSLNGTGNPNFQPVQTNAGGFGHQMAQTGAAAAAAATGQYNPM    50
51 LLQQQYLNFGFGMNYNNQLFDFQAQQQQQQQYLMQQQQQQQQLHHQQQQQ 100
101 HQNIAQPQAQHHQMNMFTQHQMLQLMQQQQQQQQQQPVQQIQRQQPIAQP 150
151 IPQHTIPPSTSNQFQQQIQSAASSIFDSSVISSHQKLYEEQCRQIEKERK 200
201 EQEERKRKQELEEQRKRNEELKRLRIAEEKRLLEEQQRLREQMERERLAE 250
251 IKRLEEAARLEDERRIAADIEAQKQAMLQKMQAEQNKHIAEVERQRSELE 300
301 ERFARVSQPMTLVGTHFLPNFLDMIPFPYESMVDSTLPQVFDMERDSAIL 350
351 ESCDPQMVATISNILNATNIDDIITRMDKLRPDDKETNDLFLDKLPPIIQ 400
401 AVVNYNTSALDVDSHNDMELLENEDVMMTEDITRTTAPSTSSSSYNNHHQ 450
451 NSIVMMTSSSVSMSEATQSSSVTMNHHDVDEEGPAPISIEKRRQMMSVGK 500
501 APKAGGGGGQNQRKKRDMVENLYDSLTDNFVPTDTGRRGRRRGRGSDDDE 550
551 DELLQRDLKLIEEMEKGVKLPASVTGFTTTEEDVQHFFGSQKKRRKEDRI 600
601 RKDRSPTPEDVIESRDAEWQERLRLKMEREKSRKADEESQNAWSLQALAD 650
651 NETFTRFCQTVDGVLEQGDSLDTELKMPKNKKRRSGGDHHHKGDENSDES 700
701 DEEEEMDEIDPDLRIELYILEELRRGSARLRENHALQAVGADKLLKLVAM 750
751 LDRNIRDAISADNQRLLVPCDDDVDVGDVLEKEICEERVKRASDAAVVAL 800
801 NIMSSHRMHKQVIIEDVIDRCVGLTRLLLIHLIYPASDSIYKSVNSKKKD 850
851 RAPEEARRRKKAGVCTRDKFSEYIYERITEAIGLLAVLVKSESMTDTSVH 900
901 NVASVALTPFFVANVGSLQITAMLLASNIFSRAEDSLRFSMITDLLSSLH 950
951 RAPQFTQKNSNNGYSLPDGSWISTTTALFIQLVQSTIKIPKFKKHADEDE 1000
1001 LAKRSKKEEAMVKEGFLKASKVTNAFLNGFLAKCSQKGNKMDGEEDYRIL 1050
1051 FSNFLQELLSALYSPEWPAAEMILTALGSLLVKNFRSKSSDMTIRQASLD 1100
1101 YLGNITAKLRKDQKEAIAGERRLDAVVKKSFLLLSDKGVEDYESVDISNL 1150
1151 KQNDKLKVLETSLIDYLVITNSSDIIVYACNFYVGEWYKEVAEDLESARS 1200
1201 KLKQTVDTNESEKDVKKAERKYEKIQYRGAEMKVFLSKILDKKEIKRRLE 1250
1251 KSNKVKMLDSDAFWAVKFLAQSREFTHSFDTYLKHIVFGAGSETIVALRS 1300
1301 KALKCLSSIIEADSSVLILEDVQQAVHTRMVDSHAQVRESAVELIGRFVL 1350
1351 YDEEYVRKYYSQIAERILDTGVAVRKRVIRIMREICEKFPTFEMIPDMLA 1400
1401 RMIRRVTDEEGVKKLVFETFTTLWFQPVDTRIYTNAVATKVTTMCSVAQH 1450
1451 CIKDAMSDYLEQLILHIVKNGQEGSGMSVAVKQIIDSLVDHILNLEQHKS 1500
1501 SENVSEVELMRRKEQEEKYMAYLSTLAVFSKIRPLLLTSHVEVLLPYLTF 1550
1551 SGAKTNAENQVTKEMIGMLERVIPLVPFPSNIVLDSIDENLCKVIMFNGM 1600
1601 ALVVSAVSCVASIYKKFKRGATKTIDVFSTYLKHLEVIKRNFDSNPRYDL 1650
1651 DPKLFPILSRSIFTLGVLSRYFQFEEFVKEDPTEEKVEALKEKVFITLEF 1700
1701 FSRYHKGGLRQKALTAMGHFCAQHSTYLTKRQLTNTYLEILNAANSPQQQ 1750
1751 QQRILVLQNLEMFLQCEEQKLAASHDKWDENKEAQNLKEMELSGSGLGSS 1800
1801 VIQKYWKAVLESYVDADIQLRRAAVQVVWLTLNQGLVTPGASIPTLIAMT 1850
1851 TDPVDVIRNRIDILLKEIDSKYSGMVQSKAMQGVRLSYKLHLKLRMLQQE 1900
1901 KFVRGFRFCDFHLNTLPNALPEKTHDGMAVLSGLYQSLRTNRQQRRSFLQ 1950
1951 SMVKLFSEEFSHDKPQLMEYIFIADNLAMFPYQMIDEPLYVMRQIDQNIA 2000
2001 QTGQSLLVQYKLQLRMQESEDEDIVFLDENMMSRLSQLGQIETFHQLFLD 2050
2051 SQVPSLLLYVRTFLMQLYGFNETKVAEYQPSEAAKVYEKAVTRRNIHMFK 2100
2101 PITALEALNFPFEWGSFQHTAFLAEKICSFRKMLLSLDQVEEVEVSNTIT 2150
2151 AANDDYDEEEDGGEDSRGPIMEQMEH 2176

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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