 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q80TL1 from www.uniprot.org...
The NucPred score for your sequence is 0.28 (see score help below)
1 MRRRRYLRDRAEAAAAAAAGGGEGLQRSRDWLYESYYCMSQQHPLIVFLL 50
51 LIVMGACLALLAVFFALGLEVEDHVAFLITVPTALAIFFAIFILVCIESV 100
101 FKKLLRVFSLVIWICLVAMGYLFMCFGGTVSAWDQVSFFLFIIFVVYTML 150
151 PFNMRDAIIASVLTSSSHTIVLSVYLSATPGAKEHLFWQILANVIIFICG 200
201 NLAGAYHKHLMELALQQTYRDTCNCIKSRIKLEFEKRQQERLLLSLLPAH 250
251 IAMEMKAEIIQRLQGPKAGQMENTNNFHNLYVKRHTNVSILYADIVGFTR 300
301 LASDCSPGELVHMLNELFGKFDQIAKENECMRIKILGDCYYCVSGLPISL 350
351 PNHAKNCVKMGLDMCEAIKKVRDATGVDINMRVGVHSGNVLCGVIGLQKW 400
401 QYDVWSHDVTLANHMEAGGVPGRVHISSVTLEHLNGAYKVEEGDGEIRDP 450
451 YLKQHLVKTYFVINPKGERRSPQHLFRPRHTLDGAKMRASVRMTRYLESW 500
501 GAAKPFAHLHHRDSMTTENGKISTTDVPMGQHNFQNRTLRTKSQKKRFEE 550
551 ELNERMIQAIDGINAQKQWLKSEDIQRISLFFYNKNIEKEYRATALPAFK 600
601 YYVTCACLIFLCIFIVQILVLPKTSILGFSFGAAFLSLIFILFVCFAGQL 650
651 LQCSKKASASLLWLLKSSGIIANRPWPRISLTIVTTAIILTMAVFNMFFL 700
701 SNSEETTLPTANASNANVSVPDNQTAILHARNLFFLPYFIYSCILGLISC 750
751 SVFLRVNYELKMLIMMVALVGYNIILLHTHAHVLDAYSQVLFQRPGIWKD 800
801 LKTMGSVSLSIFFITLLVLGRQSEYYCRLDFLWKNKFKKEREEIETMENL 850
851 NRVLLENVLPAHVAEHFLARSLKNEELYHQSYDCVCVMFASIPDFKEFYT 900
901 ESDVNKEGLECLRLLNEIIADFDDLLSKPKFSGVEKIKTIGSTYMAATGL 950
951 SAVPSQEHAQEPERQYMHIGTMVEFAYALVGKLDAINKHSFNDFKLRVGI 1000
1001 NHGPVIAGVIGAQKPQYDIWGNTVNVASRMDSTGVLDKIQVTEETSLILQ 1050
1051 TLGYTCTCRGIINVKGKGDLKTYFVNTEMSRSLSQSNLAS 1090
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.) |
Go back to the NucPred Home Page.