SBC logo Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden.

NucPred

Fetching P07897 from www.uniprot.org...

The NucPred score for your sequence is 0.31 (see score help below)

   1  MTTLLLVFVTLRVIAAVISEEVPDHDNSLSVSIPQPSPLKALLGTSLTIP    50
51 CYFIDPMHPVTTAPSTAPLTPRIKWSRVSKEKEVVLLVATEGQVRVNSIY 100
101 QDKVSLPNYPAIPSDATLEIQNLRSNDSGIYRCEVMHGIEDSEATLEVIV 150
151 KGIVFHYRAISTRYTLDFDRAQRACLQNSAIIATPEQLQAAYEDGFHQCD 200
201 AGWLADQTVRYPIHTPREGCYGDKDEFPGVRTYGIRDTNETYDVYCFAEE 250
251 MEGEVFYATSPEKFTFQEAANECRTVGARLATTGQLYLAWQGGMDMCSAG 300
301 WLADRSVRYPISKARPNCGGNLLGVRTVYLHANQTGYPDPSSRYDAICYT 350
351 GEDFVDIPENFFGVGGEEDITIQTVTWPDLELPLPRNITEGEARGNVILT 400
401 AKPIFDMSPTVSEPGEALTLAPEVGTTVFPEAGERTEKTTRPWGFPEEAT 450
451 RGPDSATAFASEDLVVRVTISPGAVEVPGQPRLPGGVVFHYRPGSTRYSL 500
501 TFEEAQQACIRTGAAIASPEQLQAAYEAGYEQCDAGWLQDQTVRYPIVSP 550
551 RTPCVGDKDSSPGVRTYGVRPSSETYDVYCYVDKLEGEVFFATQMEQFTF 600
601 QEAQAFCAAQNATLASTGQLYAAWSQGLDKCYAGWLADGTLRYPIVNPRP 650
651 ACGGDKPGVRTVYLYPNQTGLPDPLSKHHAFCFRGVSVVPSPGGTPTSPS 700
701 DIEDWIVTRVEPGVDAVPLEPETTEVPYFTTEPEKQTEWEPAYTPVGTSP 750
751 LPGIPPTWLPTVPAAEEHTESPSASQEPSASQVPSTSEEPYTPSLAVPSG 800
801 TELPSSGDTSGAPDLSGDFTGSTDTSGRLDSSGEPSGGSESGLPSGDLDS 850
851 SGLGPTVSSGLPVESGSASGDGEIPWSSTPTVDRLPSGGESLEGSASASG 900
901 TGDLSGLPSGGEITETSASGTEEISGLPSGGDDLETSTSGIDGASVLPTG 950
951 RGGLETSASGVEDLSGLPSGEEGSETSTSGIEDISVLPTGESPETSASGV 1000
1001 GDLSGLPSGGESLETSASGVEDVTQLPTERGGLETSASGIEDITVLPTGR 1050
1051 ENLETSASGVEDVSGLPSGKEGLETSASGIEDISVFPTEAEGLETSASGG 1100
1101 YVSGIPSGEDGTETSTSGVEGVSGLPSGGEGLETSASGVEDLGLPTRDSL 1150
1151 ETSASGVDVTGYPSGREDTETSVPGVGDDLSGLPSGQEGLETSASGAEDL 1200
1201 GGLPSGKEDLVGSASGALDFGKLPSGTLGSGQTPEASGLPSGFSGEYSGV 1250
1251 DIGSGPSSGLPDFSGLPSGFPTVSLVDSTLVEVITATTASELEGRGTISV 1300
1301 SGSGEESGPPLSELDSSADISGLPSGTELSGQTSGSLDVSGETSGFFDVS 1350
1351 GQPFGSSGTGEGTSGIPEVSGQAVRSPDTTEISELSGLSSGQPDVSGEGS 1400
1401 GILFGSGQSSGITSVSGETSGISDLSGQPSGFPVLSGTTPGTPDLASGAM 1450
1451 SGSGDSSGITFVDTSLIEVTPTTFREEEGLGSVELSGLPSGETDLSGTSG 1500
1501 MVDVSGQSSGAIDSSGLISPTPEFSGLPSGVAEVSGEVSGVETGSSLSSG 1550
1551 AFDGSGLVSGFPTVSLVDRTLVESITLAPTAQEAGEGPSSILEFSGAHSG 1600
1601 TPDISGDLSGSLDQSTWQPGWTEASTEPPSSPYFSGDFSSTTDASGESIT 1650
1651 APTGSGETSGLPEVTLITSELVEGVTEPTVSQELGHGPSMTYTPRLFEAS 1700
1701 GEASASGDLGGPVTIFPGSGVEASVPEGSSDPSAYPEAGVGVSAAPEASS 1750
1751 QLSEFPDLHGITSASRETDLEMTTPGTEVSSNPWTFQEGTREGSAAPEVS 1800
1801 GESSTTSDIDAGTSGVPFATPMTSGDRTEISGEWSDHTSEVNVTVSTTVP 1850
1851 ESRWAQSTQHPTETLQEIGSPNPSYSGEETQTAETAKSLTDTPTLASPEG 1900
1901 SGETESTAADQEQCEEGWTKFQGHCYRHFPDRETWVDAERRCREQQSHLS 1950
1951 SIVTPEEQEFVNKNAQDYQWIGLNDRTIEGDFRWSDGHSLQFEKWRPNQP 2000
2001 DNFFATGEDCVVMIWHERGEWNDVPCNYQLPFTCKKGTVACGEPPAVEHA 2050
2051 RTLGQKKDRYEISSLVRYQCTEGFVQRHVPTIRCQPSADWEEPRITCTDP 2100
2101 NTYKHRLQKRTMRPTRRSRPSMAH 2124

Positively and negatively influencing subsequences are coloured according to the following scale:

(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)

with NucPred



If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
The authors also look forward to your comments and suggestions.

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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