 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P91645 from www.uniprot.org...
The NucPred score for your sequence is 0.55 (see score help below)
1 MGGPKKEENPPGGGPTSLFILTEDNPIRKYTRFIIEWPPFEYAVLLTIIA 50
51 NCVVLALEEHLPGGDKTVLAQKLEKTEAYFLCIFCVEASLKILALGLVLH 100
101 KHSYLRNIWNIMDFFVVVTGFMTQYPQIGPEVDLRTLRAIRVLRPLKLVS 150
151 GIPSLQVVLKSIIKAMAPLLQIGLLVLFAIVIFAIIGLEFYSGALHKTCY 200
201 SLEDPNKLVKEGESETPCNTDNILEKATGSFVCNNTTSMCLEKWEGPNSG 250
251 ITSFDNIGFAMLTVFQCITMEGWTAILYWTNDALGSAFNWIYFVPLIVIG 300
301 SFFMLNLVLGVLSGEFSNERNRVERRMEFQKCRFRAMFQTAMVSYLDWIT 350
351 QAEEVILAEERTTEEEKMHIMEARRRNAAKRKKLKSLGKSKSTDTEEEEA 400
401 EEDYGDDGYLKTRSKPQGSCTGFWRAEKRFRFWIRHTVKTQWFYWFVIVL 450
451 VFLNTVCVAVEHYGQPSFLTEFLYYAEFIFLGLFMSEMFIKMYALGPRIY 500
501 FESSFNRFDCVVISGSIFEVIWSEVKGGSFGLSVLRALRLLRIFKVTKYW 550
551 SSLRNLVISLLNSMRSIISLLFLLFLFILIFALLGMQLFGGQFNLPGGTP 600
601 ETNFNTFPIALLTVFQILTGEDWNEVMYQGIISQGGAQKGMIYSIYFIVL 650
651 VLFGNYTLLNVFLAIAVDNLANAQELTAAEEEQVEEDKEKQLQELEKEME 700
701 ALQADGVHVENGDGAVAPSKSKGKKKEEEKKEEEEVTEGPKPMLPYSSMF 750
751 ILSPTNPIRRGAHWVVNLPYFDFFIMVVISMSSIALAAEDPVRENSRRNK 800
801 ILNYFDYAFTGVFTIEMLLKIVDLGVILHPGSYLREFWNIMDAVVVICAA 850
851 VSFGFDMSGSSAGQNLSTIKSLRVLRVLRPLKTIKRVPKLKAVFDCVVNS 900
901 LKNVVNILIVYILFQFIFSVIGVQLFNGKFFYCTDESKHTSAECQGSYFK 950
951 YEEDELLPKQELRVWKPRAFHYDNVAAAMLTLFAVQTGEGWPQVLQHSMA 1000
1001 ATYEDRGPIQNFRIEMSIFYIVYFIVFPFFFVNIFVALIIITFQEQGEAE 1050
1051 LQDGEIDKNQKSCIDFTIGARPLERYMPKNRNTFKYKVWRIVVSTPFEYF 1100
1101 IMMLIVFNTLLLMMKYHNQGDMYEKSLKYINMGFTGMFSVETVLKIIGFG 1150
1151 VKNFFKDPWNIFDLITVLGSIVDALWMEFGHDDSNSINVGFLRLFRAARL 1200
1201 IKLLRQGYTIRILLWTFVQSFKALPYVCLLIAMLFFIYAIIGMQVFGNIK 1250
1251 LGTVENSITRHNNFQSFIQGVMLLFRCATGEAWPNIMLACLKGKACDDDA 1300
1301 EKAPGEYCGSTLAYAYFVSFIFFCSFLMLNLFVAVIMDNFDYLTRDSSIL 1350
1351 GAHHLDEFVRIWAEYDPNATGKIHYTEMYDMLKNMDPPLGFGNKCPNRLA 1400
1401 YKKLIRMNMPLDDELRVQFTTTLFALIRENLSIKMRAPEEMDQADMELRE 1450
1451 TITNIWPLQAKKMLNLLVPPSDQLNKGKLSVGKIYAGFLILESWRSTRFG 1500
1501 QLDSGMPMLELQDASRHPSQESLTGADAGHLHPGHSYMNGHRRSPSLRHN 1550
1551 GSPLARSPSPRRRGHQYIHHDIGFSDTVSNVVEMVKETRHPRHGNSHPRY 1600
1601 PRGSWSASTSPARSPSPSRYGGHLSRSKRTQLPYPTYGTTSLCQRSRSPS 1650
1651 PARLQEMRERDRLGYGIDMGVTHVQHSYPTLASRRAGIGRRLPPTPSKPS 1700
1701 TLQLKPTNINFPKLNASPTHTHHSTPHSVHSLPHHRDLLRDPRDMYYSSR 1750
1751 ERERDRERLRDRDRDRDRDRLHEYDLRYEYRDRERELYERERDREREVER 1800
1801 ERLEYIAPLSFEQALAMGRTGRVLPSPVLNGFKPKSGLNPRHSDSDEEDW 1850
1851 C 1851
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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