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

NucPred

Fetching Q06412 from www.uniprot.org...

The NucPred score for your sequence is 0.83 (see score help below)

   1  MYRYNRSSPFERTPEKRVSRQESQRKSIELPKLPPLNTRNSFLDDSDNGT    50
  51  DNISIGWTPISDTQQFQSPVPQAFTFTSKHSARGNGTSSSESTPKSTKYV   100
 101  KERRPPPPPPLLYSTESIRIDSPMVSPSSQSRERSPNKLSFIGNSEERHH   150
 151  MEYISNHSRILKSPFANGFSPNSPKSPRDSSKQQAHFSDESDLRCHEREK   200
 201  ALPPIPFTTTLLLSPFDDEDSEFFTKPPPPLSTSRNVSGNSRVSEALESV   250
 251  YSDSDYTFNNSNARQSSFNSLLGAKPLELAPSITAPTQPFSIQSIDEHKL   300
 301  YQCDNVYKLSAIYEWILKVYFEWFNECVFTKIDLFQIVQLLLEFQMPTNF   350
 351  DQDTIDSNVDNIMASFISQKAVRFDIINDEEVAVVVGGLDITGVFTELLP   400
 401  CYSFIDNTYGSTNSLICYSNVCTHGQSSGFRKEIKLSEIINKSVGLWTEY   450
 451  WHLTPDDLAEINPREVQRQSFIFDLIILEERSLNMATAAVEIYGKRFDKS   500
 501  LLPDEPEFKALAFDIFEPLIQLHTEFLLTPIFWKLKTRGKFIDGVGKIYS   550
 551  KWCGEAKNIYLNYAKAMATVHEIIMWEKKNKTKFVTWLKEIDNSVEITRS   600
 601  KMYHDVIFFGGFFKSLQNMPVTLRSILKNTDPSMEDYEYLKIVIKEVEKL   650
 651  NFEVNQVHGLAIDHRKLVRFSKQLVLSTNSSNATSYVNVGGSTNANDDDA   700
 701  IQDKLALGLTYPERKLVLSGTVYKKRDLWLDPTPVYIALLDNCLLITEEI   750
 751  SKGETQKYKLIERPIPIDYLSLEKRKIPGTSKQPLRNYSQKEHKSPMHNF   800
 801  STPINSMRPLLKSSGNHMSTAYGDRKTSNTEISNANPNTDEFSFKIRNTA   850
 851  TGESFKFFTESAEVLNQWIDAIMESFKRNAENHDLNAFEFTVLSSEFAYF   900
 901  DKDAPVNLPVAPEGSEIDVALKAYAQKANKDSCSWSKTTRILCCEDVKFE   950
 951  GRIYLFVATTDGIYVKYRDDYGSGFVKILELNDVKRMEANVKLGLLFVLD  1000
1001  NRKLCYFNISTVVSRYLAQGNTLDENCIVGTVIRDKVRFFKIADDFGNSK  1050
1051  HLFFERKGKIVILTPEFDQLTNQVKYFKFYKEYKLPSSSNNILNNEIEDI  1100
1101  AIFRKSFAVCTKKTVILYQDSFEDNGIVLPSFLNDKDMMAHLRHPHLNSL  1150
1151  PFKSATDSKKRPSIESLTEEAKKDIATCKAIPVNFFQISQSSFFALVYDE  1200
1201  AVVKINCYGEMSDWRKDILLLDFCCTGASFHGNHLILVGDNLIQIYDLKN  1250
1251  VEQNLGELVPVQIIKGKKIKLASSERREKTILVLSHPNILNRQLLVACNP  1300
1301  VAMADHQ                                             1307

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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