 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q4WLK5 from www.uniprot.org...
The NucPred score for your sequence is 0.68 (see score help below)
1 MAYFLPSFFQKRLLRYALSRLELVDTEALDLDSLGIRWGQRSTVELRDIG 50
51 LRLELPASSELLSAKVQFLKITVPADIYSSGIICEASGINVHLQLPSEES 100
101 FSTAKDGNPNSRSPSKAGTHDSSSDHILPTPADLAESFLDAEPKEEKEEL 150
151 QAAITSRSQMLQRTSASISDDEEELGLGNEGVSLPSFVAAFLKGVAERLQ 200
201 VRVDNVSIRVDMEMKQEGVVKREPENKPDNVTGLLTVREVSVGAVSSATS 250
251 SSEQEKLFRNRPIVISDINMALISEPIVFSNYSRFAPPASPTTPVQPKSS 300
301 EPSSRIPSPLPGHTPDADSFLAMTRSTILETQQEHWIQDIEEPGVGRMEG 350
351 SAYTYDGRFSDADTDAEDRSDGYLEGAQQFLDNDKLLDNPAYLDSVIDSQ 400
401 LHDDDLEPPEDLVPQDDQFPPSSATPRPPKPEVHMYRETSPSGIDTEQTA 450
451 PFSHYGDGFFMDRSPHGSQPYLGPDHVATRNASHSASSPSGSLPSREISN 500
501 RQTAPPSESGSIGSSDFANGGELSESKLFSTEEAQSMYMSAISHGSSRSF 550
551 VPNVPGAWDLWESTVAQDMHAGTQLTDAADAKQDVQDETSISTPKLTAQA 600
601 ASAFTEKRSFGEQSECLSEAREPDLAPLSPTLSKLSDVAKRFLRIDRISI 650
651 SIPVGEDRRHTDETVHSSDLNLASDSPKDSTVHSGHSSAESEFLSSTMYA 700
701 SARLRSDSINLAPSFEGTLPRSLPRQGKKADHDPISKSQPGDIAVEISAV 750
751 DIRFDNAVGWLVVKIGQRVLHAFRDGGNVSSGKPAPESVQTRHSLALTLH 800
801 DFSIKYVDHIPGQTYALNDYDPHSSSFFGLPHEDIILRAEASGLTARYLA 850
851 DKSATKFSLDVSKFVFGFAWDDLISFSESLKMRESTRDVLAPVNGDISLS 900
901 LTKSSDSASLTITTLPLRLHLNVQRLEEIFGRVGGLSTILELGSSISSAS 950
951 TGFSTAKNMQRDSPRRARGVHFESSPPPENILPANPQLSWKVNARVGGIV 1000
1001 FDVVGETHYLRLKTTAVKVVSRFEGIGVQIDKAKLSGPLPLDDSRDAPAK 1050
1051 INLSNIRVEFLYSPKEPDLDRLLAIITPSKDKYDEDDDIMLDTLFRQRRQ 1100
1101 GSVLRTTVADAKIIISRTSDLESLSQLEEELGKLSTVAKYLPEDDRPGIL 1150
1151 TLTLIRELECQVYLGGPVGNITTHLRNAEAAYISMPSLIAAQLGTIKVVR 1200
1201 NGSEELVGEALPASGSQGQNQSQLPILMARYIADEMDPTIKIKSHNLRVE 1250
1251 YTIPSIIAFLGLSEDQTTGDVAANMANSLANIAESQHLHRNASETSIGSK 1300
1301 GRQASAKPRKLAFALRDCVLALNPRCTTAKGLVVLTNAKFSAAISDSGCS 1350
1351 EAMLDLKKASIMVIDDVKNMGLAENLQRGRSTIPQSDQIQSFIDMGFVPV 1400
1401 SSISSAMATVKLLQLDDDGTKSVDVELKDDLLILETCADSTQTLISIING 1450
1451 LQPPTPPSVAVKYRTEVLPIEDMLASFSGDAFAMDPPPGQAEITEAPTIV 1500
1501 EPEDGGPRIEDELEYVSDFYPVKSGPDNLAPTGSAVPSESNELLDSFHSQ 1550
1551 YYVSSSVSDLEFKEDHFANHSAVGGTAHRWDSTQNTYGLTDDSKIRKSPL 1600
1601 RIRVRDAHIIWNLFDGYDWQRTRDTISKAVKDVEKRATERRARAGSRASP 1650
1651 GFEEEEESVIGDCLFNSIYIGIPANKDPRELRNDINRNIDDLVSETGSYA 1700
1701 TTTTVTGATARQAQSPSYRGRRLKLSRSKYHKMTFELKGICADFVVFPPG 1750
1751 SEETQSSLDVRVNDLEIFDHVPTSTWKKFATYMHEAGERESGASMVHLEM 1800
1801 LTVRPVPELAASELVLKATLLPLRLHVDQDALDFICRFFEFRDDTAPTPS 1850
1851 SPADIPFLQRVEVNAVPVKLDFKPKRVDYAGLRSGRTTEFMNFFVLDGAD 1900
1901 MVMRHVIIYGVSGFDKLGQTLNDIWMPDIKRNQLPGVLAGLAPIRSLVNV 1950
1951 GGGVKDLVVVPMREYRKDGRIVRSIQKGALAFAKTTSNELVKLGAKLAIG 2000
2001 TQTVLQGAEEMLTAPTATTLGSEEDMIDEEEANKISPYADQPVGVVQGLR 2050
2051 GAFRGLERDLLLARDAIVAVPGEIVESGSAKAAAKAVLKRAPTVILRPAI 2100
2101 GVSKAVGQTLLGAGNTLDPSNRRKIEDVSVMVKYVSRVCLLTSLLRNINA 2150
2151 IKTVGHIGQL 2160
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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