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

NucPred

Fetching P10180 from www.uniprot.org...

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

   1  MQPTLPQAAGTADMDLTAVQSINDWFFKKEQIYLLAQFWQQRATLAEKEV    50
51 NTLKEQLSTGNPDSNLNSENSDTAAAAATAAAVAAVVAGATATNDIEDEQ 100
101 QQQLQQTASGGILESDSDKLLNSSIVAAAITLQQQNGSNLLANTNTPSPS 150
151 PPLLSAEQQQQLQSSLQQSGGVGGACLNPKLFFNHAQQMMMMEAAAAAAA 200
201 AALQQQQQQQSPLHSPANEVAIPTEQPAATVATGAAAAAAAAATPIATGN 250
251 VKSGSTTSNANHTNSNNSHQDEEELDDEEEDEEEDEDEDDEEENASMQSN 300
301 ADDMELDAQQETRTEPSATTQQQHQQQDTEDLEENKDAGEASLNVSNNHN 350
351 TTDSNNSCSRKNNNGGNESEQHVASSAEDDDCANNNTNTSNNNNTSNTAT 400
401 SNTNNNNNNNSSSGNSEKRKKKNNNNNNGQPAVLLAAKDKEIKALLDELQ 450
451 RLRAQEQTHLVQIQRLEEHLEVKRQHIIRLEARLDKQQINEALAEATALS 500
501 AAASTNNNNNSQSSDNNKKLNTAAERPMDASSNADLPESTKAPVPAEDDE 550
551 EDEDQAMLVDSEEAEDKPEDSHHDDDEDEDEDREAVNATTTDSNELKIKK 600
601 EQHSPLDLNVLSPNSAIAAAAAAAAAAACANDPNKFQALLIERTKALAAE 650
651 ALKNGASDALSEDAHHQQQQHHQQQHQHQQQHHQQQHLHQQHHHHLQQQP 700
701 NSGSNSNPASNDHHHGHHLHGHGLLHPSSAHHLHHQTTESNSNSSTPTAA 750
751 GNNNGSNNSSSNTNANSTAQLAASLASTLNGTKSLMQEDSNGLAAVAMAA 800
801 HAQHAAALGPGFLPGLPAFQFAAAQVAAGGDGRGHYRFADSELQLPPGAS 850
851 MAGRLGESLIPKGDPMEAKLQEMLRYNMDKYANQALDTLHISRRVRELLS 900
901 VHNIGQRLFAKYILGLSQGTVSELLSKPKPWDKLTEKGRDSYRKMHAWAC 950
951 DDNAVMLLKSLIPKKDSGLPQYAGRGAGGAGGDDSMSEDRIAHILSEASS 1000
1001 LMKQSSVAQHREQERRSHGGEDSHSNEDSKSPPQSCTSPFFKVENQLKQH 1050
1051 QHLNPEQAAAQQREREREQREREQQQRLRHDDQDKMARLYQELIARTPRE 1100
1101 TAFPSFLFSPSLFGGAAGMPGAASNAFPAMADENMRHVFEREIAKLQQHQ 1150
1151 QQQQAAQAQAQFPNFSSLMALQQQVLNGAQDLSLAAAAAKDIKLNGQRSS 1200
1201 LEHSAGSSSCSKDGERDDAYPSSLHGRKSEGGGTPAPPAPPSGPGTGAGA 1250
1251 PPTAAPPTGGASSNSAAPSPLSNSILPPALSSQGEEFAATASPLQRMASI 1300
1301 TNSLITQPPVTPHHSTPQRPTKAVLPPITQQQFDMFNNLNTEDIVRRVKE 1350
1351 ALSQYSISQRLFGESVLGLSQGSVSDLLARPKPWHMLTQKGREPFIRMKM 1400
1401 FLEDENAVHKLVASQYKIAPEKLMRTGSYSGSPQMPQGLASKMQAASLPM 1450
1451 QKMMSELKLQEPAQAQHLMQQMQAAAMSAAMQQQQVAQAQQQAQQAQQAQ 1500
1501 QHLQQQAQQHLQQQQHLAQQQHPHQQHHQAAAAAAALHHQSMLLTSPGLP 1550
1551 PQHAISLPPSAGGAQPGGPGGNQGSSNPSNSEKKPMLMPVHGTNAMRSLH 1600
1601 QHMSPTVYEMAALTQDLDTHDITTKIKEALLANNIGQKIFGEAVLGLSQG 1650
1651 SVSELLSKPKPWHMLSIKGREPFIRMQLWLSDANNVERLQLLKNERREAS 1700
1701 KRRRSTGPNQQDNSSDTSSNDTNDFYTSSPGPGSVGSGVGGAPPSKKQRV 1750
1751 LFSEEQKEALRLAFALDPYPNVGTIEFLANELGLATRTITNWFHNHRMRL 1800
1801 KQQVPHGPAGQDNPIPSRESTSATPFDPVQFRILLQQRLLELHKERMGMS 1850
1851 GAPIPYPPYFAAAAILGRSLAGIPGAAAAAGAAAAAAAVGASGGDELQAL 1900
1901 NQAFKEQMSGLDLSMPTLKRERSDDYQDDLELEGGGHNLSDNESLEGQEP 1950
1951 EDKTTDYEKVLHKSALAAAAAYMSNAVRSSRRKPAAPQWVNPAGAVTNPS 2000
2001 AVVAAVAAAAAAAADNERIINGVCVMQASEYGRDDTDSNKPTDGGNDSDH 2050
2051 EHAQLEIDQRFMEPEVHIKQEEDDDEEQSGSVNLDNEDNATSEQKLKVIN 2100
2101 EEKLRMVRVRRLSSTGGGSSEEMPAPLAPPPPPPAASSSIVSGESTTSSS 2150
2151 SSSNTSSSTPAVTTAAATAAAGWNY 2175

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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