 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q5ND34 from www.uniprot.org...
The NucPred score for your sequence is 0.68 (see score help below)
1 MAQGSRRRKVVLTAGSEGWSPSSGPDMEELLRSVERDLNIDARQLALAPG 50
51 GTHVVALVSTRWLASLRERRLGPCPRAEGLGEAEVRTLLQRSVQRLPPGW 100
101 TRVEVHGLRKRRLSYPLGGGVPFEEGSCSPETLTRFMQEVAAQNYRNLWR 150
151 HAYHTYGQPYSHSTAPSALPALDSIRQALQRVYGCTFLPVGESIPCLSNV 200
201 RDGPCPSRGSPACPSLLRAEALLESPEMLYVVHPYVQFSLHDVVTFSPAK 250
251 LTNSQAKVLFLLFRVLRAMDACHRQGLACGALSLHHIAVDEKLCSELRLD 300
301 LSAYEMPSEDENQEGSEEKNGTGIKSEKEGEGRTECPTCQKELRGLVLDW 350
351 VHGRISNFHYLMQLNRLAGRRQGDPNYHPVLPWVVDFTTPYGRFRDLRKS 400
401 KFRLNKGDKQLDFTYEMTRQAFVAGGAGSGEPPHVPHHISDVLSDITYYV 450
451 YKARRTPRSVLCGHVRAQWEPHEYPATMERMQTWTPDECIPEFYTDPSIF 500
501 CSIHPDMPDLDVPAWCSSNQEFVAAHRALLESWEVSQDLHHWIDLTFGYK 550
551 LQGKEAVKEKNVCLHLVDAHTHLTSYGVVQLFDQPHPQRLAGSPALAPEP 600
601 PLIPRLLVQPIREATGQEDISGQLINGAGRLVVEATPCETGWTRDRPGTG 650
651 EDDLEQATEALDSISLPGKAGDQPGSSSSQASPGLLSFSAPSGSRPGRRS 700
701 KAAGLDPGEGEEGKIVLPEGFSPIQALEELEKVGNFLAKGLGSQLEEPEK 750
751 PHAQPPVHLQSLFHRDMQVLGVLLAEMVFATRVRILQPDAPLWVRFEAVR 800
801 GLCIRHSKDIPVSLQPVLDTLLQLSGPKSPMVSKKGKLDPLFEYRPVSQG 850
851 LPPPSPAQLLSPFSSVVPFPPYFPALHKFILLYQARRVEDEVQGRELAFA 900
901 LWQQLGAVLNDITPEGLEILLPFVLSLMSEEHTAVYTAWYLFEPVAKALG 950
951 PKNANKYLLKPLIGAYESPCRLHGRFYLYTDCFVAQLVVRLGLQAFLTHL 1000
1001 LPHVLQVLAGVEASQEEGKGLVGTTEDEESELPVSGPGSCAFGEEIQMDG 1050
1051 QPAASSGLGLPDYRSGVSFHDQADLPDTEDFQAGLYVAESPQPQEAEAVS 1100
1101 LGQLSDKSSTSEASQGEERGGDDGGAPADKNSVKSGDSSQDLKQSEGSEE 1150
1151 EEEEEGCVVLEEDQEDEVTGTSELTLSDTMLSMETVVAPGDGRDREEEEE 1200
1201 PLTEQTEGKEQKILLDTACKMVRWLSAKLGPTVASRHVARNLLRLLTSCY 1250
1251 VGPTRQQFTVSSDDTPPLNAGNIYQKRPVLGDIVSGPVLSCLLHIAYLYG 1300
1301 EPVLTYQYLPYISYLVAPGSNSNPSRLNSRKEAGLLAAVTLTQKIIVYLS 1350
1351 DTTLMDILPRISHEVLLPVLGFLTSFVTGFPSGAQARTVLCVKTISLIAL 1400
1401 ICLRIGQEMVQQHLSEPVATFFQVFSHLHELRQQDLPLDPKGCTEGQLPE 1450
1451 ATFSDGQRRPVDPTLLEELQKVFTLEMAYTIYVPFSCLLGDIIRKIIPNH 1500
1501 ELVGELAGLYLESMSPSSRNPASMEPTMASAGPEWDPQSGSCLQDDGHSG 1550
1551 TFGSVLVGNRIQIPDSQPQSPGPLGSLSGVGSSGGLSNRNEDNALKRELP 1600
1601 RSAHGLSGNWLAYWQYEIGVSQQDAHFHFHQIRLQSFPGHTGAVKCVAAL 1650
1651 SSEDFFLSGSKDRTVRLWPLYNYGDGTNETASRLIYAQHRKSVFYVGQLE 1700
1701 APQYVVSCDGAVHVWDPFTGKTLRTVDPSDSRVPLTAVAVMPAPHTSITM 1750
1751 ASSDSTLRFVDCRKPGLQHEFRLGGGLNPGLVRSLAVSPSGRSVVAGFSS 1800
1801 GFMVLLDTRTGLVLRGWPAHEGDILQIKAVEGSVLISSSSDHSLTVWKEL 1850
1851 EQKPTHHYKSASDPIHTFDLYGSEVVTGTVANKIGVCSLLEPPSQATTKL 1900
1901 SSENFRGTLTSLALLPTKRHLLLGSDNGIIRLLA 1934
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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