 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q6P1E1 from www.uniprot.org...
The NucPred score for your sequence is 0.61 (see score help below)
1 MNSMDRHIQQTNDRLQCIKQHLQNPANFHNAATELLDWCGDPRAFQRPFE 50
51 QSLMGCLTVVSRVAAQQGFDLDLGYRLLAVCAANRDKFTPKSAALLSSWC 100
101 EELGRLLLLRHQKSRQNDPPGKLPMQPPLSSMSSMKPTLSHSDGSFPYDS 150
151 VPWQQNTNQPPGSLSVVTTVWGVTNTSQSQVLGNPMANANNPMNPGGNPM 200
201 ASGMSTSNPGINSPQFAGQQQQFSTKAGPAQPYIQPNMYGRPGYPGSGGF 250
251 GASYPGGPSAPAGMGIPPHTRPPADFTQPAAAAAAAAVAAAAATATATAT 300
301 ATVAALQETQNKDINQYGPVCSSFQMGPTQAYNSQFMNQPGPRGPASMGG 350
351 SLNPAGMAAGMTPSGMSGPPMGMNQPRPPGISPFGTHGQRMPQQTYPGPR 400
401 PQSLPIQSIKRPYPGEPNYGNQQYGPNSQFPTQPGQYPTPNPPRPLTSPN 450
451 YPGQRMPSQPSTGQYPPPTVNMGQYYKPEQFNGQNNTFSSGSSYSSYSQG 500
501 SVNRPPRPVPVANYPHSPVPGNPTPPMTPGSSIPPYLSPSQDVKPPFPPD 550
551 IKPNMSALPPPPANHNDELRLTFPVRDGVVLEPFRLEHNLAVSNHVFHLR 600
601 PTVHQTLMWRSDLELQFKCYHHEDRQMNTNWPASVQVSVNATPLTIERGD 650
651 NKTSHKPLHLKHVCQPGRNTIQITVTACCCSHLFVLQLVHRPSVRSVLQG 700
701 LLKKRLLPAEHCITKIKRNFSSVAASSGNTTLNGEDGVEQTAIKVSLKCP 750
751 ITFRRIQLPARGHDCKHVQCFDLESYLQLNCERGTWRCPVCNKTALLEGL 800
801 EVDQYMWGILNAIQHSEFEEVTIDPTCSWRPVPIKSDLHIKDDPDGIPSK 850
851 RFKTMSPSQMIMPNVMEMIAALGPGPSPYPLPPPPGGTSSNDYSSQGNNY 900
901 QGHGNFDFPHGNPGGTSMNDFMHGPPQLSHPPDMPNNMAALEKPLSHPMQ 950
951 ETMPHAGSSDQPHPSIQQGLHVPHPSSQAGPPLHHSGAPPPSQPPRQPPQ 1000
1001 AAPGNHPHSDLTFNPSSALEGQAGAQGASDMPEPSLDLLPELTNPDELLS 1050
1051 YLDPPDLPSNSNDDLLSLFENN 1072
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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