 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8NB66 from www.uniprot.org...
The NucPred score for your sequence is 0.97 (see score help below)
1 MVANFFKSLILPYIHKLCKGMFTKKLGNTNKNKEYRQQKKDQDFPTAGQT 50
51 KSPKFSYTFKSTVKKIAKCSSTHNLSTEEDEASKEFSLSPTFSYRVAIAN 100
101 GLQKNAKVTNSDNEDLLQELSSIESSYSESLNELRSSTENQAQSTHTMPV 150
151 RRNRKSSSSLAPSEGSSDGERTLHGLKLGALRKLRKWKKSQECVSSDSEL 200
201 STMKKSWGIRSKSLDRTVRNPKTNALEPGFSSSGCISQTHDVMEMIFKEL 250
251 QGISQIETELSELRGHVNALKHSIDEISSSVEVVQSEIEQLRTGFVQSRR 300
301 ETRDIHDYIKHLGHMGSKASLRFLNVTEERFEYVESVVYQILIDKMGFSD 350
351 APNAIKIEFAQRIGHQRDCPNAKPRPILVYFETPQQRDSVLKKSYKLKGT 400
401 GIGISTDILTHDIRERKEKGIPSSQTYESMAIKLSTPEPKIKKNNWQSPD 450
451 DSDEDLESDLNRNSYAVLSKSELLTKGSTSKPSSKSHSARSKNKTANSSR 500
501 ISNKSDYDKISSQLPESDILEKQTTTHYADATPLWHSQSDFFTAKLSRSE 550
551 SDFSKLCQSYSEDFSENQFFTRTNGSSLLSSSDRELWQRKQEGTATLYDS 600
601 PKDQHLNGGVQGIQGQTETENTETVDSGMSNGMVCASGDRSHYSDSQLSL 650
651 HEDLSPWKEWNQGADLGLDSSTQEGFDYETNSLFDQQLDVYNKDLEYLGK 700
701 CHSDLQDDSESYDLTQDDNSSPCPGLDNEPQGQWVGQYDSYQGANSNELY 750
751 QNQNQLSMMYRSQSELQSDDSEDAPPKSWHSRLSIDLSDKTFSFPKFGST 800
801 LQRAKSALEVVWNKSTQSLSGYEDSGSSLMGRFRTLSQSTANESSTTLDS 850
851 DVYTEPYYYKAEDEEDYTEPVADNETDYVEVMEQVLAKLENRTSITETDE 900
901 QMQAYDHLSYETPYETPQDEGYDGPADDMVSEEGLEPLNETSAEMEIRED 950
951 ENQNIPEQPVEITKPKRIRPSFKEAALRAYKKQMAELEEKILAGDSSSVD 1000
1001 EKARIVSGNDLDASKFSALQVCGGAGGGLYGIDSMPDLRRKKTLPIVRDV 1050
1051 AMTLAARKSGLSLAMVIRTSLNNEELKMHVFKKTLQALIYPMSSTIPHNF 1100
1101 EVWTATTPTYCYECEGLLWGIARQGMKCLECGVKCHEKCQDLLNADCLQR 1150
1151 AAEKSSKHGAEDKTQTIITAMKERMKIREKNRPEVFEVIQEMFQISKEDF 1200
1201 VQFTKAAKQSVLDGTSKWSAKITITVVSAQGLQAKDKTGSSDPYVTVQVG 1250
1251 KNKRRTKTIFGNLNPVWDEKFYFECHNSTDRIKVRVWDEDDDIKSRVKQH 1300
1301 FKKESDDFLGQTIVEVRTLSGEMDVWYNLEKRTDKSAVSGAIRLKINVEI 1350
1351 KGEEKVAPYHIQYTCLHENLFHYLTEVKSNGGVKIPEVKGDEAWKVFFDD 1400
1401 ASQEIVDEFAMRYGIESIYQAMTHFSCLSSKYMCPGVPAVMSTLLANINA 1450
1451 FYAHTTVSTNIQVSASDRFAATNFGREKFIKLLDQLHNSLRIDLSKYREN 1500
1501 FPASNTERLQDLKSTVDLLTSITFFRMKVLELQSPPKASMVVKDCVRACL 1550
1551 DSTYKYIFDNCHELYSQLTDPSKKQDIPREDQGPTTKNLDFWPQLITLMV 1600
1601 TIIDEDKTAYTPVLNQFPQELNMGKISAEIMWTLFALDMKYALEEHENQR 1650
1651 LCKSTDYMNLHFKVKWFYNEYVRELPAFKDAVPEYSLWFEPFVMQWLDEN 1700
1701 EDVSMEFLHGALGRDKKDGFQQTSEHALFSCSVVDVFAQLNQSFEIIKKL 1750
1751 ECPNPEALSHLMRRFAKTINKVLLQYAAIVSSDFSSHCDKENVPCILMNN 1800
1801 IQQLRVQLEKMFESMGGKELDSEASTILKELQVKLSGVLDELSVTYGESF 1850
1851 QVIIEECIKQMSFELNQMRANGNTTSNKNSAAMDAEIVLRSLMDFLDKTL 1900
1901 SLSAKICEKTVLKRVLKELWKLVLNKIEKQIVLPPLTDQTGPQMIFIAAK 1950
1951 DLGQLSKLKEHMIREDARGLTPRQCAIMEVVLATIKQYFHAGGNGLKKNF 2000
2001 LEKSPDLQSLRYALSLYTQTTDALIKKFIDTQTSQSRSSKDAVGQISVHV 2050
2051 DITATPGTGDHKVTVKVIAINDLNWQTTAMFRPFVEVCILGPNLGDKKRK 2100
2101 QGTKTKSNTWSPKYNETFQFILGKENRPGAYELHLSVKDYCFAREDRIIG 2150
2151 MTVIQLQNIAEKGSYGAWYPLLKNISMDETGLTILRILSQRTSDDVAKEF 2200
2201 VRLKSETRSTEESA 2214
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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