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

NucPred

Fetching O93845 from www.uniprot.org...

The NucPred score for your sequence is 0.95 (see score help below)

   1  MPSRKPSKYGNKFRSGAASFNPKRTKTVEFSSLRSSEATSQDEKFEAIRL    50
51 ANSIDESLGFPRFEAGEKRVGWLINMHSTSIEDPNVPGGRAGVDYYFLDD 100
101 DGGSFKATVEYDPYFLIAVKTGHEAEVEEWCRRMFEGLIKKIKRVVKEDL 150
151 KLPNHLLGHRRTFLQLDFANVSHLLEVRKTLLPLAEKNRKNARPNGTTNA 200
201 SDFIIDIREYDVPYHVRVAIDKDIRIGKWYTVEATHGIISLTCLEERLTR 250
251 ADPVVLAFDIETTKLPLKFPDSVIDQIMMISYMIDGQGFLITNREIVSED 300
301 IDDFEYTPKPEYSGPFMIFNEPNERAVIERFFEHIKEAKPTVIATYNGDF 350
351 FDWPFVEARASVLGIDMYKEIGFRKNSEDIYQSDHCAHMDCFAWVNRDSY 400
401 LPQGSRGLKAVTVAKLGYDPDELDPELMTPYASERPQTLAEYSVSDAVAT 450
451 YYLYMKYIHPFIFSLCTILPLNPDDTLRKGTGTLCEMLLMVQAYKGNIVL 500
501 PNKHKDPPEAFYEGHLLESETYVGGHVESIEAGVFRSDIPVPFNIDPTAV 550
551 DELLRDLDAALKFSIEVEEKKSLDDVTNYEEVKGQIAKLLTDLRENPHRN 600
601 EVPFIYHLDVASMYPNIMITNRLQPDSLIQESNCAACDFNRPGKTCDRRL 650
651 PWAWRGEFLPAKRDEYNMIRQAVQNERFPGRTKKSPMRAFTELSAEEQAA 700
701 IVKKRLQDYSKKIYHKIHDSKTMVREAIICQRENPFYVDTVRSFRDRRYD 750
751 FKGKQKVWKGKTESLKSSGAPAAEIEEAKKMIVLYDSLQLAHKVILNSFY 800
801 GYVMRKGSRWYSMEMAGVTCLTGARIIQMARELVERIGRPLELDTDGIWC 850
851 MLPGTFPENFSFTLKNGKKLGISYPCVMLNHLVHGSYTNHQYQSLANPAT 900
901 FRYETHSENSIFFEVDGPYRAMILPTSKEEDKNLKKRYAVFNDDGSLAEL 950
951 KGFEVKRRGELKLIKIFQTQIFKFFLEGTTLAETYAAVARVADRWLDVLY 1000
1001 EHGATLADEELIELISENRSMTKTLEEYGNQKSTSITTARRLAEFLGEQM 1050
1051 VKDKGLNCKYIISARPRNTPVTERAIPVTIFSAEDSIKRHFLRKWLKDDP 1100
1101 GDMDPRSVIDWDYYLERLGSVVQKLITIPAALQKIRNPVPRVAHPEWLQR 1150
1151 RINKQDDRFKQVKMTDMFGKSEKNPLSDISTNIIDHRVQHADNLDEAMAD 1200
1201 SMEKLKSSSPQKASGKRKHPENQTKTSLDPFASLPAKMPSIDDDYVGFLK 1250
1251 YQKQKWKIQKQARLRRRQLFGERANTGGDSLSHLFRNQAELLYISTWQVL 1300
1301 QLAETSRPGIVRAFVLIDRKIHALTIKVPRCVYINLKQDSLPDVEVPECE 1350
1351 VEKVNHTLPNGHPSVHLFKLTLSEETFLREADKIHVLLQHPSVEGVYERN 1400
1401 IPLNLRAVLKLGSICTFDEAQRGVLGDGLERGFDLSTLCRTSSEQQYLQD 1450
1451 SPLAYHFLYHVSSGEKQIFAIFSSTKNEAHIVILNRARDVQGLPNVDKIY 1500
1501 SELLARKLQGQGDQAEGAFQYQEKIHFRTTQITTRRKAYLEVSDLIKKLR 1550
1551 NDESLPAIMIIQSQQRSRLCHDIPILKEYPILSVKPEVSDMNLPPLGWQS 1600
1601 FIAKRLVTHYLYLSSWVQHLTMLARYGDVPLCNLESDDPRFLIDISYARR 1650
1651 LQQNNVVLWWSSTAKPDHAGYEKDDITGPLERVGMPCVNVPGSYTTVCVE 1700
1701 LEVRNLAINTILTSSIINEAEGADSLLAPSDPSAESSGSGVLYSEKAFAS 1750
1751 AGAVVLREMVKHWWSEACQGNNMADIMVQHLIRWVESPASCLYDRSLHQY 1800
1801 VRMLSRKSFQQLMAEFRRVGSNVVFASPTRLLLQTSKTEVGNAYAYSQYV 1850
1851 LKSIRANPSFHFIDLDIKEYWDYLVWYDEYNYGGKGCQEVAETEEQPLET 1900
1901 VMHWQLSRFLPTPMQTIFHDWVVEYIELMHSFKRPESDDSSTPRLTQIPI 1950
1951 GQPEPGQENEELSAALSDRFSKPLKKQISGLIRRQREELLHPELASDYVF 2000
2001 PILPGVLTDPNEEKRNPVLELVKLLMQVLSLSKTTALETRLLRRELLALF 2050
2051 EVREFSKEGRFENPGSSLKIPELTCSACCLIRDLDLCRDEDVLPERGSGS 2100
2101 GPDSATSSRPWCCPFCQTEYDRLAQEEMLIGQVWGMVVAWQTQDLKCSKC 2150
2151 GTLKISEFMEHCSCSGQWTETMNRADIEKRLKVLESVAKFHELKLLQVVV 2200
2201 EEVLSQT 2207

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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