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

NucPred

Fetching Q74ZH9 from www.uniprot.org...

The NucPred score for your sequence is 0.74 (see score help below)

   1  MKFGKTFPNHQVPEWAHKYVNYKGLKKQIKEITLVQDALFRQEQGAASQD    50
  51  GPARRRGRESKEQYLGHPEVKKLLAAFFFALDRDIEKVDGFYNMQFMEYD   100
 101  RRLRKLLSSAQLADITSVQRGATGYLHAPLPQYIAYGERERDGLPERYVP   150
 151  PHATDMSEDLAEVLTILLELRSHFRNLKWYGELNKRAFTKIMKKLDKKVG   200
 201  TNQQHSYFQARIKPLEFADDTPIVKALATINEILDRISPCVKDLQDKLRG   250
 251  EDRRLLQGSSSPIDVASQLVTKDDGAGLINELISMYRSVVLIPTRTLVTL   300
 301  LNKSALSRSFSCVDEILGIIPTLGDPSDINGRNFFHHHVIALGKKRTKSL   350
 351  EERDNINSLLSDSLDLEAAIPPEPNTRLVGAFGPDGVNSDDSPAPLSHIL   400
 401  QQLPAHLRPSLLQRDNYKRTPLHYSAQYGLCEVTRIILQALSEWDAWNAD   450
 451  VAIDDIDVWGDSENLTPLHLAVIGTHPLTVSTLLSFMNPEKSLNSPRLLH   500
 501  LATRLNSPSLLNSLLSAKGFDIDYQEPENLETALYVACKLDIYEAAEYLV   550
 551  KQGANMELGEKLFGWTPIFAAATEGYARIVQLLVDHGAKYDLFDESGWTP   600
 601  MEHAALRGHLDISQLIRITDNKAITRPKFATDWNKSTRPTETTNGLLSAL   650
 651  TPSESGSTTTGSENKSSSLTPSTSNEMYALPARSSTSIDKISEPNKGNHR   700
 701  KVLKSQLSHGKVQTIKDTQLPQQPIKSFGHSFLQKDESVILLTLGTNDNR   750
 751  STIPAVSLNKVPVAKASSTELDTALSLLVTCMDNLDAEPVMLDLPLHENL   800
 801  DSVTFKVPYKKDSSYTIFFDIVPTYGYSMANMNRENSSGMHSNVGNSTGP   850
 851  AYLDAQVGQCGSRLHYDQLGRDTPNTYDQRSRHQASQQKEQIATKKQSKI   900
 901  LGRAVALLDSAPTSVGPNRRSIAEAITIPIIGSDTLEVLGIIRFDFLVVT   950
 951  PFVHKNLSVGPAETYWKSLVSTRVIGHRGLGKNMNTNKSLQLGENTVESF  1000
1001  IAAASLGASYVEFDVQLTKDNIPVVYHDFLVAESGVDIPMHELTLEQFLD  1050
1051  LNGERQRHQDAREAHRNHRSPNGRRLSMDDSSAELIKRSLMMRGDEDRTA  1100
1101  RDLNTIYGDRMRLTRTFKKNAFKANSRGHAIASSFVTLKELFKKIPQNVG  1150
1151  FNIECKYPMVDEAEEEDIGPIAVEMNHWIDTVLEVVYDNVEGRDVIFSSF  1200
1201  QPDVCLMLSLKQPSFPILFLTEGGTAKRCDIRAASLQNAIRFAHRWNLLG  1250
1251  IVSAAAPIVIAPRLAQIVKSSGLVCVTYGVENNDPEIARVEMDAGVDAVI  1300
1301  VDSVLAVRKGLTREAQDADTL                               1321

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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