 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching O70405 from www.uniprot.org...
The NucPred score for your sequence is 0.53 (see score help below)
1 MEPGRGGVETVGKFEFSRKDLIGHGAFAVVFKGRHREKHDLEVAVKCINK 50
51 KNLAKSQTLLGKEIKILKELKHENIVALYDFQEMANSVYLVMEYCNGGDL 100
101 ADYLHTMRTLSEDTVRLFLQQIAGAMRLLHSKGIIHRDLKPQNILLSNPG 150
151 GRRANPSNIRVKIADFGFARYLQSNMMAATLCGSPMYMAPEVIMSQHYDG 200
201 KADLWSIGTIVYQCLTGKAPFQASSPQDLRLFYEKNKTLVPAIPRETSAP 250
251 LRQLLLALLQRNHKDRMDFDEFFHHPFLDASTPIKKSPPVPVPSYPSSGS 300
301 GSSSSSSSASHLASPPSLGEMPQLQKTLTSPADAAGFLQGSRDSGGSSKD 350
351 SCDTDDFVMVPAQFPGDLVAEAASAKPPPDSLLCSGSSLVASAGLESHGR 400
401 TPSPSPTCSSSPSPSGRPGPFSSNRYGASVPIPVPTQVHNYQRIEQNLQS 450
451 PTQQQTARSSAIRRSGSTTPLGFGRASPSPPSHTDGAMLARKLSLGGGRP 500
501 YTPSPQVGTIPERPSWSRVPSPQGADVRVGRSPRPGSSVPEHSPRTTGLG 550
551 CRLHSAPNLSDFHVVRPKLPKPPTDPLGATFSPPQTSAPQPCPGLQSCRP 600
601 LRGSPKLPDFLQRSPLPPILGSPTKAGPSFDFPKTPSSQNLLTLLARQGV 650
651 VMTPPRNRTLPDLSEASPFHGQQLGSGLRPAEDTRGPFGRSFSTSRITDL 700
701 LLKAAFGTQASDSGSTDSLQEKPMEIAPSAGFGGTLHPGARGGGASSPAP 750
751 VVFTVGSPPSGATPPQSTRTRMFSVGSSSSLGSTGSSSARHLVPGACGEA 800
801 PELSAPGHCCSLADPLAANLEGAVTFEAPDLPEETLMEQEHTETLHSLRF 850
851 TLAFAQQVLEIAALKGSASEAAGGPEYQLQESVVADQISQLSREWGFAEQ 900
901 LVLYLKVAELLSSGLQTAIDQIRAGKLCLSSTVKQVVRRLNELYKASVVS 950
951 CQGLSLRLQRFFLDKQRLLDGIHGVTAERLILSHAVQMVQSAALDEMFQH 1000
1001 REGCVPRYHKALLLLEGLQHTLTDQADIENIAKCKLCIERRLSALLSGVY 1050
1051 A 1051
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
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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