 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q94JQ6 from www.uniprot.org...
The NucPred score for your sequence is 0.35 (see score help below)
1 MNTGGRLIAGSHNRNEFVLINADENARIRSVQELSGQTCQICRDEIELTV 50
51 DGEPFVACNECAFPVCRPCYEYERREGNQACPQCKTRFKRLKGSPRVEGD 100
101 EEEDDIDDLDNEFEYGNNGIGFDQVSEGMSISRRNSGFPQSDLDSAPPGS 150
151 QIPLLTYGDEDVEISSDRHALIVPPSLGGHGNRVHPVSLSDPTVAAHPRP 200
201 MVPQKDLAVYGYGSVAWKDRMEEWKRKQNEKLQVVRHEGDPDFEDGDDAD 250
251 FPMMDEGRQPLSRKIPIKSSKINPYRMLIVLRLVILGLFFHYRILHPVKD 300
301 AYALWLISVICEIWFAVSWVLDQFPKWYPIERETYLDRLSLRYEKEGKPS 350
351 GLSPVDVFVSTVDPLKEPPLITANTVLSILAVDYPVDKVACYVSDDGAAM 400
401 LTFEALSETAEFARKWVPFCKKYCIEPRAPEWYFCHKMDYLKNKVHPAFV 450
451 RERRAMKRDYEEFKVKINALVATAQKVPEDGWTMQDGTPWPGNSVRDHPG 500
501 MIQVFLGSDGVRDVENNELPRLVYVSREKRPGFDHHKKAGAMNSLIRVSG 550
551 VLSNAPYLLNVDCDHYINNSKALREAMCFMMDPQSGKKICYVQFPQRFDG 600
601 IDRHDRYSNRNVVFFDINMKGLDGLQGPIYVGTGCVFRRQALYGFDAPKK 650
651 KKGPRKTCNCWPKWCLLCFGSRKNRKAKTVAADKKKKNREASKQIHALEN 700
701 IEEGRVTKGSNVEQSTEAMQMKLEKKFGQSPVFVASARMENGGMARNASP 750
751 ACLLKEAIQVISCGYEDKTEWGKEIGWIYGSVTEDILTGFKMHSHGWRSV 800
801 YCTPKLAAFKGSAPINLSDRLHQVLRWALGSVEIFLSRHCPIWYGYGGGL 850
851 KWLERLSYINSVVYPWTSLPLIVYCSLPAICLLTGKFIVPEISNYASILF 900
901 MALFSSIAITGILEMQWGKVGIDDWWRNEQFWVIGGVSAHLFALFQGLLK 950
951 VLAGVDTNFTVTSKAADDGEFSDLYLFKWTSLLIPPMTLLIINVIGVIVG 1000
1001 VSDAISNGYDSWGPLFGRLFFALWVIIHLYPFLKGLLGKQDRMPTIIVVW 1050
1051 SILLASILTLLWVRVNPFVAKGGPILEICGLDCL 1084
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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