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

NucPred

Fetching Q6NU21 from www.uniprot.org...

The NucPred score for your sequence is 0.94 (see score help below)

   1  MPSTSRAGSLKDQDIAELFFRDDPEKLFSDLREIGHGSFGAVYFAHDAST    50
51 REVVAIKKMSYSGKQSNEKWQDIVKEVKFLQRIKHPNSIEYKGCYLREHT 100
101 AWLVMEYCLGSASDLLEVHKKPLQEIEIAAITHGALQGLAYLHSHNLIHR 150
151 DIKAGNILLTEPGQVKLADFGSASIASPANSFVGTPYWMAPEVILAMDEG 200
201 QYDGKVDVWSLGITCIELAERKPPLFNMNAMSALYHIAQNESPTLQSNEW 250
251 SDFFRNFVDSCLQKIPQDRPTSDELLKNMFVLLERPETVLIDLIQRTKDA 300
301 VRELDNLQYRKMKKLLFQEAHNGPAVETHEEEEEQEHGVGRTGTVNSIGS 350
351 NQSIPSMSISASSQSSSVTSLPDASDDKSELDMMEGDHTVMSNSSVIHLK 400
401 PEEENYPEEPEPRTRPSEPHSPPQVSRHKSHYRNREHFATIRTASLVTRQ 450
451 IQEHEQDSELREQMSGYKRMRRQHQKQLMALENKLKAEMDEHRLRLDKDL 500
501 ETQRNNFSAEMEKLVKKHQAAMEKELKSIANDEKKFQQHIQAQQKKELNN 550
551 FLESQKREYKLRKEQLKEELNENQSTPKKEKQEWLSKQKENFQHFQAEEE 600
601 ANLLRRQRQYLDLECRRFKRRMLLNRHNSEQDLVREELNKRQTQKDLEHA 650
651 MLLRQHESMQELEFRHLNTIQKMRCELIKLQHQTELTNQLEYNKRREREL 700
701 RRKHVMEVRQQPKSLKSKELQIKKQFQDTCKIQTRQYKALRNHLLDTTPK 750
751 NEHKAVLKRLKEEQTRKLAILAEQYDHSINEMLSTQALRLDEAQEAECQV 800
801 LKMQLQQELELLNAYQSKIKMQAEAQHEREIHELEQRVSLHRGLLEQKIE 850
851 EEMLALQNERTERIRSLLERQAREIEAFDSESMRLGFSNMILSNLSPEAF 900
901 SHSYPGASGWSHNPTGGPGPHWGHPMAGPPQAWGHPMQGGPQPWGHPSGS 950
951 VQGVSRGSTMGVRNSPQALRRTASGGQTEQGMSRSTSVTSQISNGSRMSY 1000
1001 T 1001

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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