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

NucPred

Fetching Q9V4P1 from www.uniprot.org...

The NucPred score for your sequence is 0.95 (see score help below)

   1  MDPFTQHMLEKAEQRSRALGISNASKFPLVECSVPSSSATSASGGDAGVL    50
  51  APRSRSPGGQSAASGGGKVVTLGKATLEASPAKPLRHYTAVNKENLDMGI   100
 101  EINITTDKPIGVQVEIQEQEVTDDEEQAEGGALNPLLEAEPVNQPLARLR   150
 151  DTSRSRLQRMGALYSNTDDLSSPIHRTEGQFHVTTGEEEDCGNRSSRQPK   200
 201  QRLGKLAALADTINQWEDDTSHHEVHRLLEAPPPKPHLSSRRAEKGPAPL   250
 251  PPKKDEVDEASRTKQLKWDPKVLSSLEAQGFQRRESSTIKHTYDYAKQEE   300
 301  AAPASKVEDAVLTAKPPVPQKSTTVSQVAKNFASSAPAPKPAPAPAVSVK   350
 351  SGLVSGRAALFENKGTGGQSQGLRNQKDPCELSLKERMKLFETGNNKAML   400
 401  PMAPIGSAPSITQIRAEEVKQHLAAMHPVTAAAATTVVAATKPKQENKLR   450
 451  DKVAALVANAQSSAETRIKDIDRQRQEDMQIISNRFNKQKELFDNQPSDS   500
 501  SVAAQARPPAPAPSRVVRPMPPPPPPPIAALSPGLASSKRRSPGDAPTTD   550
 551  EDSKRARKSHSDRLYPALSDLDSSGDNCCAAETASATDDSHQQDEEETES   600
 601  CMDESDDQSQTEDSSAGMCNGSLGREIMSAVQRNEVEMQQQQTGKKTVRY   650
 651  ADQDMYYDDSSLNSSQVSAGIDDYLDEALVEDYGSTQDDQSDSGDEQNAS   700
 701  RLSLGSKGTTASNSFSFRKNPASICTPIEEHHEMEMDLQTPLLSGAQPVK   750
 751  SELSVNQDNDNLVTLVHTVSFYRRQQSANSSNSTPVRKICREQQVMRSAL   800
 801  AGDCHAKHRLEYDSPQQSDYVAAATDIADQTDEDDEEMQNAREVNDASQA   850
 851  QDKIKKLLSEVCKQQQVIGQASQALNLCAATVEFSGSTESVEGERYLLLA   900
 901  THRRQACLDEVQRLRVENSIRPVGAPKEKGLLTVKDITIPLRQEYVRKMA   950
 951  SNNINGHHLVCLLKYNEHVLATKTVPTMPGLLSVKFPDVLQLNNVYADFR  1000
1001  ITLEIYGMLAQRDQLPHELKYHINLNKKGGIKTPKKKGGENRLVMPPVQS  1050
1051  PAGPHVVRTPQLVQYGFAIFSLREIQRTTWTLTQVLGVSPLEGVVHMKVN  1100
1101  CELSVSVEYKGFLTMFEDISGFGAWHRRWCYLNGSVINYWKYPDDEKRKT  1150
1151  PMGSIDLNSCTSQKVTTAPRDICARLNTMLLECERPALETDQESLIIVPN  1200
1201  GRTTTVRHLLSADTKEEREEWCAYLNKALTLLRAWGTTH             1239

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.)

Go back to the NucPred Home Page.