 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8LPB4 from www.uniprot.org...
The NucPred score for your sequence is 0.46 (see score help below)
1 MGVLRVYVILILVGFCVQIVVVNSQNLTCNSNDLKALEGFMRGLESSIDG 50
51 WKWNESSSFSSNCCDWVGISCKSSVSLGLDDVNESGRVVELELGRRKLSG 100
101 KLSESVAKLDQLKVLNLTHNSLSGSIAASLLNLSNLEVLDLSSNDFSGLF 150
151 PSLINLPSLRVLNVYENSFHGLIPASLCNNLPRIREIDLAMNYFDGSIPV 200
201 GIGNCSSVEYLGLASNNLSGSIPQELFQLSNLSVLALQNNRLSGALSSKL 250
251 GKLSNLGRLDISSNKFSGKIPDVFLELNKLWYFSAQSNLFNGEMPRSLSN 300
301 SRSISLLSLRNNTLSGQIYLNCSAMTNLTSLDLASNSFSGSIPSNLPNCL 350
351 RLKTINFAKIKFIAQIPESFKNFQSLTSLSFSNSSIQNISSALEILQHCQ 400
401 NLKTLVLTLNFQKEELPSVPSLQFKNLKVLIIASCQLRGTVPQWLSNSPS 450
451 LQLLDLSWNQLSGTIPPWLGSLNSLFYLDLSNNTFIGEIPHSLTSLQSLV 500
501 SKENAVEEPSPDFPFFKKKNTNAGGLQYNQPSSFPPMIDLSYNSLNGSIW 550
551 PEFGDLRQLHVLNLKNNNLSGNIPANLSGMTSLEVLDLSHNNLSGNIPPS 600
601 LVKLSFLSTFSVAYNKLSGPIPTGVQFQTFPNSSFEGNQGLCGEHASPCH 650
651 ITDQSPHGSAVKSKKNIRKIVAVAVGTGLGTVFLLTVTLLIILRTTSRGE 700
701 VDPEKKADADEIELGSRSVVLFHNKDSNNELSLDDILKSTSSFNQANIIG 750
751 CGGFGLVYKATLPDGTKVAIKRLSGDTGQMDREFQAEVETLSRAQHPNLV 800
801 HLLGYCNYKNDKLLIYSYMDNGSLDYWLHEKVDGPPSLDWKTRLRIARGA 850
851 AEGLAYLHQSCEPHILHRDIKSSNILLSDTFVAHLADFGLARLILPYDTH 900
901 VTTDLVGTLGYIPPEYGQASVATYKGDVYSFGVVLLELLTGRRPMDVCKP 950
951 RGSRDLISWVLQMKTEKRESEIFDPFIYDKDHAEEMLLVLEIACRCLGEN 1000
1001 PKTRPTTQQLVSWLENIDVSS 1021
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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