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

NucPred

Fetching O74539 from www.uniprot.org...

The NucPred score for your sequence is 0.82 (see score help below)

   1  MYSQHELRNKVSLALSSLLRYTFELTPFFELYEADFAYALYAGFELATNR    50
  51  KVVGKFSFQNVHLENEYNILTEIAKDERASKFSPTPIEFTSFPHIDLSAC   100
 101  IAYDFGHGAELSTSYAYFRENPAEFVRFCIAICKCIEYLHSKGMVHGEIR   150
 151  LDSFIPISSYDNVYMLTVGSGASYFHNCLQAHNWRKYSEDSESMSRILFI   200
 201  SPEQTGRTSYSVGYRTDIYSLGVLFFHYLSDCSPYTGSFVQRIRSILTEP   250
 251  LPDISKSCPKLPHLIFKIIEKMTRKNPDERYTSCSGIVNDLEACLDDIDK   300
 301  GLILNDHVLEKTGRTSLFYLPCSIYGREHEIKLIRKILRNSPRAINHQDK   350
 351  KDLETFNPYYLNAIESESSSQSLSLSQRASEVMPLVILITGCEGIGESSL   400
 401  IQTICDRREGYMAITKFEVSQSIVYSAIVSAVAEFIRQILAEDQLLLNNF   450
 451  FEELKNKLESDLYLLDSVFDLVPEIRSLLQQFSTSSGNTRKTSLLGSNHS   500
 501  SYSDKLGSPTILSTSFSLARPYPEPALVSPSTERPPRSSFSAALMTLLNI   550
 551  IASFKKVTMVIENIHLADESSLIILQKIVYSDLPLTLMITCDKENDHVIN   600
 601  RFRLANDRIHEIELKPLSFNAVNSYVQATLHRTDDGLARFSSYVYHISKG   650
 651  VPLLVRNVLLSIYENKIIYFDWKKNRWEVNYDEMYTLDNDYSEPDAFMTA   700
 701  KKKISKLNDSSRAILGWASLLGPSFSFATVKKLCKDTDNIELNVEALQSA   750
 751  LREGIIYATSSDDTYTFSRSIYVKAMRDLLNEAKIQIMHACLIDVCLKNR   800
 801  DRYNIFDIAFHINAAFDFVKGDKRSVEYCHYLHLAAEEALKIGANQEALD   850
 851  LYNRCIKMIPHEIPEESDDSYIRCQLIGMYVGCAEAYWVNDNFDTASEML   900
 901  KLAEEKACNNSEVFPARFLYSRILFEGVHIEECTQYVLSCLKPLGYELKR   950
 951  HSLEDSKSIISALIPRIIDKITKSSEESQSSTDDDDRRIFEILSFLYVGS  1000
1001  VATSYFSETAEMAIDFGIAQVEFFLSTVVNSFSAFALVYFAILANSLLEP  1050
1051  SEDILFIGNYGEKLNREAENPIIFSRTEYLYVQSLGFIDSTTKERRLTID  1100
1101  YLDRNCVTCSDKHVIISLLLVSSWEKFLTSNNYSNYLADFETTHAQIMEM  1150
1151  KPWVGDTSLITQLKRFLMCLQDNIKLDLIKSKSFLSDHNIQLSSPAAQES  1200
1201  AKLAFSLHGWINSWYLLALVMHGEWDMAISYGENFKREFKNALLTSSRVF  1250
1251  GIFMFTWSLVNKMLICPEFTKQKKYYEQYKENLGFFDSLCIGDNECITRV  1300
1301  YFLLLKACGLIMNGLNFEASVMLEEVISLTEKLELFLLQAFAFETVGSIF  1350
1351  VSMELYTSATQYLEEAIRNYAALGVKQKARHLRDKFGDLLVSNNLQVSID  1400
1401  EATQTDFPLVFSPERSSIDINASSMRSEKASFEIPFPEEQIDDDVSPVAQ  1450
1451  DSSLEELLISLDIIDLTSVMRSCQTIASEIELTGLLSTMTQRMLEDSSAN  1500
1501  AAVIAIRDDVGFKIAAYRTGELNEVFAPPMPITEDQTYVPSRVINYVVHT  1550
1551  QKALFSNNINHEFDLQQERWNIENHMGRSVIAIPLYQKKEVFAILYLQGP  1600
1601  PSAFHSRHMSVLSILGAQASFAIVNISLFHKVKEATNVNTIIIKAQREAL  1650
1651  NLVQKSEAKYRSFVDTMPCLLSKLEFDEELRIELFGSFWKEYCGELNIND  1700
1701  PNTWKEYVHLDDHLKLQDFLLSHLHNPLPFELEIRIKRKDGVYRWNLTRC  1750
1751  TPTTNEKNRTSFLCATIDIDDQKKARATALELARLRSNFLANISHELRTP  1800
1801  FSGFYGMLSLLDDTNLDSEQRDIVSAARISCEMLLRVINDLLNFSKLEAG  1850
1851  KVTLESDLEFSLESVVCDCMQSVYSACAEKGINLSYNVSPDIPFFTAGDG  1900
1901  MKIGQMLKSILDNSVKTVNNGFIRVRAFLAGSSKKNDRDQLQIAFIVEDT  1950
1951  REESNAIFLANMINSLNRGCNDYLPMDLSGTALGMSTCLQLCKIMGGSVS  2000
2001  VEVSQNNPTFKICYDLKIHELGKERYDIIATPLFQNLTEFNDLIKSKVAI  2050
2051  RVSKTSTEYDNITTYLQAARKVLHVFKGLQDLASIFDLSPDSALLRCSVV  2100
2101  VVDVYSMDDVKAVEKILKSYPDVHVIYLCCDPSRLNIEQELQKPSGRSFA  2150
2151  CKKRWGFLQMPCTRENFLKVTLQVFKSNEDTCNFYSYVNEYGESPKPDDD  2200
2201  MDRLNKCVGSKILIAEDNPIVRMTLKKQLEHLGMDVDAAEDGKETLQIFE  2250
2251  SHPDNYYQVCFVDYHMPVYDGLEVTRRMRKIERKHGCAPLPIFALTADMQ  2300
2301  PTMETQFQEVGITHYLSKPFKKETLIKMLLQYLVNGTDGNANTS        2344

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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