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

NucPred

Fetching Q8R1A4 from www.uniprot.org...

The NucPred score for your sequence is 0.90 (see score help below)

   1  MAERRAFAQKISRTVAAEVRKQISGQYSGSPQLLKNLNIVGNISHHTTVP    50
51 LTEAVDPVDLEDYLVTHPLSGDSGPLRDLVEFPPDDIEVVYSPRDCRTLV 100
101 SAVPEESEMDPHVRDCIRSYTEDWAVVVRKYHKLGTGFNPNTLDKQKERQ 150
151 KGLPRQVFESDEAPDGSSYQDEQDDLKRRSMSIDDTPRGSWACSIFDLKN 200
201 SLPDALLPNLLDRTPNEEIDHQNDDQRKSNRHKELFALHPSPDEEEPIER 250
251 LSVPDVPKEHFGQRLLVKCLSLKFEIEIEPIFASLALYDVKEKKKISENF 300
301 YFDLNSEQMKGLLRPHVPPAAITTLARSAIFSITYPSQDVFLVIKLEKVL 350
351 QQGDIGECAEPYMIFKEADATKNKEKLEKLKSQADQFCQRLGKYRMPFAW 400
401 TAIHLMNIVSSAGSLERDSTEVEISTGERKGSWSERRNSSLVGRRSLERT 450
451 TSGDDACNLTSFRPATLTVANFFKQEGDRLSDEDLYKFLADMRRPSSVLR 500
501 RLRPITAQLKIDISPAPENPHYCLTPELLQVKLYPDSRVRPTREILEFPA 550
551 RDVYVPNTTYRNLLYIYPQSLNFANRQGSARNITVKVQFMYGEDPSNAMP 600
601 VIFGKSSCSEFSKEAYTAVVYHNRSPDFHEEIKVKLPATLTDHHHLLFTF 650
651 YHVSCQQKQNTPLETPVGYTWIPMLQNGRLKTGQFCLPVSLEKPPQAYSV 700
701 LSPEVPLPGMKWVDNHKGVFNVEVVAVSSIHTQDPYLDKFFALVNALDEH 750
751 MFPVRIGDMRIMENNLESELKSSISALNSSQLEPVVRFLHLLLDKLILLV 800
801 VRPPVIAGQIVNLGQASFEAMASIINRLHKNLEGNHDQHGRNNLLASYIY 850
851 YVFRLPNTYPNSPSPGPGGLGGSVHYATMARSAVRPASLNLNRSRSLSNS 900
901 NPDISGTPTSPDDEVRSIIGSKGLDRSNSWVNTGPKAAPWGSNPSPSAES 950
951 TQAMDRSCNRMSSHTETSSFLQTLTGRLPTKKLFHEELALQWVVCSGSVR 1000
1001 ESALQQAWFFFELMVKSMVHHLYFNDKLDAPRESRFPERFMDDIAALVST 1050
1051 IAGDVVSRFQKDTEMVERLNTSLAFFLNDLLSVMDRGFVFSLIKSCYKQV 1100
1101 SAKLYSLPNPSVLVSLRLDFLRIICSHEHYVTLNLPCSLLTPPASPSPSV 1150
1151 SSATSQSSGFSTSVQDQKIANMFELSLPFRQQHYLAGLVLTELALILDPD 1200
1201 AEGLFGLHKKVINMVHNLLSTHDSDPRYSDPQIKARVAMLYLPLIGIIME 1250
1251 TVPQLYDFTESHNQRGRPICIAPDDYDSESGSMISQTVAMAIAGTSVPQL 1300
1301 TRPGSFLLTSTSGRQHTTFSAESSRSLLICLLWVLKNADETVLQKWFTDL 1350
1351 SVLQLNRLLDLLYLCVSCFEYKGKKVFERMNSLTFKKSKDMRAKLEEAIL 1400
1401 GSIGARQEMVRRSRGQLERSPSGSAFGSQENLRWRKDMTHWRQNSEKLDK 1450
1451 SRAEIEHEALIDGNLATEANLIILDTLEIIVQTVSVTESKESILGGVLKV 1500
1501 LLQSMACNQSAVYLQHCFATQRALVSKFPELLFEEETEQCADLCLRLLRH 1550
1551 CSSSISTIRSHASASLYLLMRQNFEIGNNFARVKMQVTMSLSSLVGTSQN 1600
1601 FNEEFLRRSLKTILTYAEEDLELRETTFPDQVQDLVFNLHMILSDTVKMK 1650
1651 EHQEDPEMLIDLMYRIAKGYQTSPDLRLTWLQNMAGKHSERSNHAEAAQC 1700
1701 LVHSAALVAEYLSMLEDRKYLPVGCVTFQNISSNVLEESAVSDDVVSPDE 1750
1751 EGICSGKYFTESGLVGLLEQAAASFSMAGMYEAVNEVYKVLIPIHEANRD 1800
1801 AKKLSTIHGKLQEAFSKIVHQSTGWERMFGTYFRVGFYGTKFGDLDEQEF 1850
1851 VYKEPAITKLAEISHRLEGFYGERFGEDVLEVIKDSNPVDKCKLDPNKAY 1900
1901 IQITYVEPFFDTYEMKDRITYFDKNYNLRRFMYCTPFTLDGRAHGELHEQ 1950
1951 FKRKTILTTSHAFPYIKTRVNVTHKEEIILTPIEVAIEDMQKKTQELAFA 2000
2001 THQDPADPKMLQMVLQGSVGTTVNQGPLEVAQVFLSEIPGDPKLFRHHNK 2050
2051 LRLCFKDFTKRCEDALRKNKSLIGPDQKEYQRELERNYHRLKEALQPLIN 2100
2101 RKIPQLYKAVLPVTCHRDSFSRMSLRKMEL 2130

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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