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

NucPred

Fetching O95271 from www.uniprot.org...

The NucPred score for your sequence is 0.55 (see score help below)

   1  MAASRRSQHHHHHHQQQLQPAPGASAPPPPPPPPLSPGLAPGTTPASPTA    50
  51  SGLAPFASPRHGLALPEGDGSRDPPDRPRSPDPVDGTSCCSTTSTICTVA   100
 101  AAPVVPAVSTSSAAGVAPNPAGSGSNNSPSSSSSPTSSSSSSPSSPGSSL   150
 151  AESPEAAGVSSTAPLGPGAAGPGTGVPAVSGALRELLEACRNGDVSRVKR   200
 201  LVDAANVNAKDMAGRKSSPLHFAAGFGRKDVVEHLLQMGANVHARDDGGL   250
 251  IPLHNACSFGHAEVVSLLLCQGADPNARDNWNYTPLHEAAIKGKIDVCIV   300
 301  LLQHGADPNIRNTDGKSALDLADPSAKAVLTGEYKKDELLEAARSGNEEK   350
 351  LMALLTPLNVNCHASDGRKSTPLHLAAGYNRVRIVQLLLQHGADVHAKDK   400
 401  GGLVPLHNACSYGHYEVTELLLKHGACVNAMDLWQFTPLHEAASKNRVEV   450
 451  CSLLLSHGADPTLVNCHGKSAVDMAPTPELRERLTYEFKGHSLLQAAREA   500
 501  DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGAN   550
 551  VNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAAL   600
 601  AGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSESTPIRTSDV   650
 651  DYRLLEASKAGDLETVKQLCSSQNVNCRDLEGRHSTPLHFAAGYNRVSVV   700
 701  EYLLHHGADVHAKDKGGLVPLHNACSYGHYEVAELLVRHGASVNVADLWK   750
 751  FTPLHEAAAKGKYEICKLLLKHGADPTKKNRDGNTPLDLVKEGDTDIQDL   800
 801  LRGDAALLDAAKKGCLARVQKLCTPENINCRDTQGRNSTPLHLAAGYNNL   850
 851  EVAEYLLEHGADVNAQDKGGLIPLHNAASYGHVDIAALLIKYNTCVNATD   900
 901  KWAFTPLHEAAQKGRTQLCALLLAHGADPTMKNQEGQTPLDLATADDIRA   950
 951  LLIDAMPPEALPTCFKPQATVVSASLISPASTPSCLSAASSIDNLTGPLA  1000
1001  ELAVGGASNAGDGAAGTERKEGEVAGLDMNISQFLKSLGLEHLRDIFETE  1050
1051  QITLDVLADMGHEELKEIGINAYGHRHKLIKGVERLLGGQQGTNPYLTFH  1100
1101  CVNQGTILLDLAPEDKEYQSVEEEMQSTIREHRDGGNAGGIFNRYNVIRI  1150
1151  QKVVNKKLRERFCHRQKEVSEENHNHHNERMLFHGSPFINAIIHKGFDER  1200
1201  HAYIGGMFGAGIYFAENSSKSNQYVYGIGGGTGCPTHKDRSCYICHRQML  1250
1251  FCRVTLGKSFLQFSTMKMAHAPPGHHSVIGRPSVNGLAYAEYVIYRGEQA  1300
1301  YPEYLITYQIMKPEAPSQTATAAEQKT                         1327

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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