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

NucPred

Fetching Q6EVY7 from www.uniprot.org...

The NucPred score for your sequence is 0.99 (see score help below)

   1  MKRHQFKSCIFELREILREIKNSRYFLDSWTKFDSVVSFTHIFFHQERFV    50
  51  KLLGPQTWSVLLSRDSQGSTSNRYFTIKGVVLLVVAVLIYRINNRNMVER   100
 101  KNLYLMGLLPIPMNSIGPRNDTLEESFWSPNINRLIVSLLYLPKGKKISE   150
 151  SCFMDPKESTWVLPITQKCIMPESNWGSRWWRNWIGKKRDSSCKISNETV   200
 201  AGIEISFKEKDIKYLEFLFVSYMDDPIRKDHGWELFDRVSPRKKRNIINL   250
 251  NSGQLFEILAKHLICYLMSAFREKRPIEVEGFLKQQGAEATIPSNDIEHV   300
 301  SHLFSRNKWDISLQNCAQFHMWQFHQDLFVSWGKNQHESDFLRNVSRENL   350
 351  IWLDNMWLVNKDRFFSKVRNVSSNIQYDSTRSIFVQVTDSSQLKGSSDQS   400
 401  RENFDSISNEDSEYHTLINQTEIQQLKERLILWDPSSLQTERTEIESDRF   450
 451  PKYPSGYSSMSRLFTEREKQMNNHLFPEKIEEFLGNPTRSIRSFFSDRWS   500
 501  ELHLVSNATERFTRDQKLLKKQQDVFSFVPSRRSEKKEMVDIFKIITYLQ   550
 551  NTVSIHPISSDRGCDMVPKDEPDMDSSNKISFLNKNPFCDLFHLFHDRNK   600
 601  GRYTLHHDFESEERFQEMADLFTLSITEPDLVYHKGFAFSIDSYGLDQKK   650
 651  FLNEVFNSRDESKKNSLLVLPHIFYEENESFYRRIRKKWVRISCRNGLED   700
 701  PKPKIVVFASNNIMEAVNQYRLIRNLIQIQYSTYGYIRNLSNRFFLMNRS   750
 751  DRNFEYGIQRDQIGNDTLNHITIMKYMINQHLLNVKKSQKKWFDPLISRT   800
 801  ERSMNRDPNAYRYKWSNGSKNFQEHLEHFVSEQKNRFQVVFDRLRINQHS   850
 851  IDWSKVIDKQDLSKSLHFFLSKSLLFLSKSLTFFFVSIGNIPIHRSEIHI   900
 901  YELKGPNDQLCNQLLESIGVQIVHLNKLKPFLLDDHDTSQRSKFLINGGT   950
 951  ISAFLFNKIPKWMIDSLHTRNNRRKFFDNTDSYFSMISHDRDNWLNPVKP  1000
1001  FHRSSLISSFYKANLLRFLNNPHHFCFYSNKRFPFYAEKTRIDNYDLTYG  1050
1051  QFLHISFIRNKIFSLCVGKKKHVFLERDTISPIESQVSDIFIPNDFPQSG  1100
1101  DETYNLYKSQPLSTYCQPLSDMNLSDSEGKNLHQYLSFNSNMGLIHTPCS  1150
1151  EKDLPSAKKRNLCLKKCVEKRQMYRAFQRDSAFSNLSKWNLFQTYMPWFL  1200
1201  TSAGCKYINFILLDTFSDPLPILSSSHQFVSFFYDIMHGSDISWSILQIP  1250
1251  LWAILPRWNLISEISSKCLQNILLPEEMIHRNNESPVPLKWTHLRSPNAR  1300
1301  EFLYSILFLLLVAGYLVRTHLLFISRVSSELQTELEKIKSLMIPSYMIEL  1350
1351  RKLLDRYPPPELNSFWLKNLFLVALEQLGDSLEEIRSSASGGNMLLSGGP  1400
1401  TYGVKSIRSKKKDLNINLIDIIYLISIIPNPINSITFSRNTRHLSRTSKE  1450
1451  IYSLIRKNVNSDWIDDQIESWVANSDLIDDEEREFLVQFSTLTTEKRIDQ  1500
1501  ILLSLTHSDHLSKNDSGYQMIEQPGSIYLRYLVDIQKRYLMNYEFNRSCL  1550
1551  AERRIFLAHYQTITYSQTPCGANSSHFPSHGKPFSLRLALPPSRGILVIG  1600
1601  FIGTGRSYFVKYRVTNSYVPFITVFPNKFLDDNKGYLIDDIDIDDRDDID  1650
1651  IDDRDDDDLDTELLTMPNVLTMYMTPKIDQFEITLPLELAKAMSPCIIWI  1700
1701  PNIHDLYVNESNYLSLGLLVNHLPRDCERCSTRNILVIASTHIPQKVDPA  1750
1751  LIAPNKSNTCIKIRRLLIPQQRKHFFILSYTRGFRLEKKMSHTNGFGSIT  1800
1801  MGSNARDLVALTNEVLSISITQKKSIIDTNTIRSALHRQTWDLRSQVRSV  1850
1851  QYHEILFYQIGRAVAQNVLLSNCSIDPISIYMKKKSCKEGDSYLSKWYFE  1900
1901  LGTSMKKLTILLYLLSCSAGSVAQDLWSPPGPDEQNWITSYGFVENDSDL  1950
1951  VHGLLESALVGYSRTECSQFDNDRVTLLLRSEPRNQLDMMQNGSCSIVDQ  2000
2001  RFLYEKYESGFEEGEGEGTLDLQQIEEDEDLFNHIVWAPRLWRPHGNLFD  2050
2051  CIERPKKLGFPYWVRSFRDKRIIYHKEDKLQENDSEFLRSGTVQYQTRDR  2100
2101  SSKEQGFFRISQFIWDPADQFFFLFKDQPFVSVFSRRESFADEEMSKGLI  2150
2151  TSQTNSPTSIYKRWLIKNTQEKHFELLIHRQRWLRTNTNSSLSNGSFRSN  2200
2201  TLSESYQYLSNLFLSNNGTLLDQMTKTLLRKRWLFPDEMKHLIHAPGERF  2250
2251  PIP                                                 2253

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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