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

NucPred

Fetching Q9FNI6 from www.uniprot.org...

The NucPred score for your sequence is 0.57 (see score help below)

   1  MGTKVSDDLVSTVRSVVGSDYSDMDIIRALHMANHDPTAAINIIFDTPSF    50
51 AKPDVATPTPSGSNGGKRVDSGLKGCTFGDSGSVGANHRVEEENESVNGG 100
101 GEESVSGNEWWFVGCSELAGLSTCKGRKLKSGDELVFTFPHSKGLKPETT 150
151 PGKRGFGRGRPALRGASDIVRFSTKDSGEIGRIPNEWARCLLPLVRDKKI 200
201 RIEGSCKSAPEALSIMDTILLSVSVYINSSMFQKHSATSFKTASNTAEES 250
251 MFHPLPNLFRLLGLIPFKKAEFTPEDFYSKKRPLSSKDGSAIPTSLLQLN 300
301 KVKNMNQDANGDENEQCISDGDLDNIVGVGDSSGLKEMETPHTLLCELRP 350
351 YQKQALHWMTQLEKGNCTDEAATMLHPCWEAYCLADKRELVVYLNSFTGD 400
401 ATIHFPSTLQMARGGILADAMGLGKTVMTISLLLAHSWKAASTGFLCPNY 450
451 EGDKVISSSVDDLTSPPVKATKFLGFDKRLLEQKSVLQNGGNLIVCPMTL 500
501 LGQWKTEIEMHAKPGSLSVYVHYGQSRPKDAKLLSQSDVVITTYGVLTSE 550
551 FSQENSADHEGIYAVRWFRIVLDEAHTIKNSKSQISLAAAALVADRRWCL 600
601 TGTPIQNNLEDLYSLLRFLRIEPWGTWAWWNKLVQKPFEEGDERGLKLVQ 650
651 SILKPIMLRRTKSSTDREGRPILVLPPADARVIYCELSESERDFYDALFK 700
701 RSKVKFDQFVEQGKVLHNYASILELLLRLRQCCDHPFLVMSRGDTAEYSD 750
751 LNKLSKRFLSGKSSGLEREGKDVPSEAFVQEVVEELRKGEQGECPICLEA 800
801 LEDAVLTPCAHRLCRECLLASWRNSTSGLCPVCRNTVSKQELITAPTESR 850
851 FQVDVEKNWVESSKITALLEELEGLRSSGSKSILFSQWTAFLDLLQIPLS 900
901 RNNFSFVRLDGTLSQQQREKVLKEFSEDGSILVLLMSLKAGGVGINLTAA 950
951 SNAFVMDPWWNPAVEEQAVMRIHRIGQTKEVKIRRFIVKGTVEERMEAVQ 1000
1001 ARKQRMISGALTDQEVRSARIEELKMLFT 1029

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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