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

NucPred

Fetching Q95Q98 from www.uniprot.org...

The NucPred score for your sequence is 0.97 (see score help below)

   1  MDPEALNLEFYDKNGLDNPIHFRCDPKRIGMTLPSPDFSVDDVLELVGGN    50
51 RMIEVVQVQNQGSVKMSLQEFINFYKTPQEKREVLYNVLSLEFSQTPLED 100
101 LVKSPELVRQIDWVGNQWPDALRQRWISFNGRDKKFYNPHHTFPKVQNYC 150
151 LMSVANCYTDFHIDFSGTSVWYHVLKGRKVFWLIPPTETNFFIYQEFIKT 200
201 VNDNAFFGKSVEKCHVAILEPGDTMLIPSGWIHAVYTPDDSLVFGGNFLH 250
251 SQSCKTQLRVYQVENKLNITRKFRLPYNEELIFYVIADYVKQWTGREYVR 300
301 PLRIEDAKYDYVGDKWKTAGGHHKKIEYSDYETGVELTNDMIKGDEESTK 350
351 DEVKVIAMHAENSLFGYPMVSKATFSADTGLEEEADEDEVKYQETKEEMD 400
401 ARRDAEIDELANSNSLIFYKNRTHDFVRNKCVPDHKLPIGHEPPIYFNDD 450
451 EISRISPRLLDELETLGTYIRRKARVEVAEGICQPASLINTFQTVLKKRR 500
501 SELTGKKFEFNQIMPRRYTRSTMETGEYDFQPTQEVPQESARRSTRFKVD 550
551 NFPDELLESEVTDKPIILPQQPSSGPLEYLPAPKDEIKEDINGFEEEFEE 600
601 EYEGIGQRDDQEEEEYDAEEPEDQEEEEEDEYQAEEYTPTPVTRRSSSRR 650
651 SGAKNDESEEVSVKKDKKEKMEKVEKDEKRRNSKSKKDKISKEKKKKERE 700
701 RIELESQLDAELRAAHGGGSSKSKKKKPEKPAFVGGLPTSSIQIDPVVSN 750
751 PYNYDPRMEMMKLGTGQLKSAYRKTKNNVELHIEKNLYKIEPKRGSEEGS 800
801 QSREQSMEPEHSTPVFTTFDDINEANNDHYDGQKPPTKRAKYEAISVDTY 850
851 ETPSSSRNKEHKEYRPSPNAAPTPSPSHHQKPKLSSPAMVSSTNEYQLRK 900
901 HMSSERRSSDAGSAMKKGVYMPAMSRQDKMIAEGASAPSSRHSSISSERR 950
951 PSFIPDFNSSRNSSIDTPYTPTTVTPSRSSWLPNTSSINRHSIEDDSPID 1000
1001 VVNDSLSPINIASSPTYPTAITPPPVTLSDLKKDMSNGRKSHSQHHDDGH 1050
1051 KHKIPSKEAIAELKLLVGKLKAINDS 1076

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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