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

NucPred

Fetching Q8CHB8 from www.uniprot.org...

The NucPred score for your sequence is 0.96 (see score help below)

   1  MPVVMARDLEETASSSEDEDLANQEDHPCIMWTGGCRRIPVLVFHAEAIL    50
  51  TKDNNIRVIGERYHLSYKIVRTDSRLVRSILTAHGFHEVHPSSTDYNLMW   100
 101  TGSHLKPFLLRTLSEAQKVNHFPRSYELTRKDRLYKNIIRMQHTHGFKAF   150
 151  HILPQTFLLPAEYAEFCNSYSKDRGPWIVKPVASSRGRGVYLINNPNQIS   200
 201  LEENILVSRYINNPLLIDDFKFDVRLYVLVTSYDPLVIYLYEEGLARFAT   250
 251  VRYDQGSKNIRNQFMHLTNYSVNKKSGDYVSCDDPEVEDYGNKWSMSAML   300
 301  RYLKQEGKDTTALMAHVEDLIIKTIISAELAIATACKTFVPHRSSCFELY   350
 351  GFDVLIDNTLKPWLLEVNLSPSLACDAPLDLKIKASMISDMFTVVGFVCQ   400
 401  DPAQRTSNRSIYPSFESSRRNPFQKPQRTRPLSASDAEMKNLVASAREKV   450
 451  PGKLGGSVLGLSMEEIKVLRRVKEENDRRGGFIRIFPTSETWEIYGSYLE   500
 501  HKTSMNYMLATRLFQDRGNPRRSLLTGRARVSTEGAPELKVESMNSKAKL   550
 551  HAALYERKLLSLEVRKRRRRSGRLRAMRPKYPVIAQPAEMNIKTETESEE   600
 601  EEEVGLDNDDEEQEASQEESAGSLGENQAKYTPSLTVIVENSPRDNAMKV   650
 651  AEWTNKGEPCCKIEAQEPESKFNLMQILQDNGNLSKVQARLAFSAYLQHV   700
 701  QIRLTKDSGGQTLSPSWAAKEDEQMELVVRFLKRASSNLQHSLRMVLPSR   750
 751  RLALLERRRILAHQLGDFIGVYNKETEQMAEKKSKKKLEEEEEDGVNAES   800
 801  FQEFIRQASEAELEEVLTFYTQKNKSASVFLGTHSKSSKNSSSYSDSGAK   850
 851  GDHPETIQEVKIKQPKQQQATEIHADKLSRFTTSSGKEAKLVYTNCSSFC   900
 901  SPAAVLLQRLPSSHLSSVITTSALSAGPGHHASLSQIPPAVPSLPHQPAL   950
 951  LLSPVPDNAPPSIHSGTQNVSPAGLPRCRSGSYTIGPFSSFQSAAHIYSQ  1000
1001  KLSRPSSAKAAGSCHPHKHHSGIAKTQKEGEDVSLNRRYNQSLVTAELQR  1050
1051  LAEKQAARQYSPASHISLLTQQVTNLNLASSVINRSSASTPPTLRPVISP  1100
1101  SGPTWSIQPDLHASETHSSPPGSRSLQTGGFAWEGEVENNAYSKTTGVVP  1150
1151  QHKYHPTAGSYQLHFALQQLEQQKLQSRQLLDQSRARHQAIFGSQTLPNS  1200
1201  SLWTMNNGPGCRISSATTGGQKPNTLPQKVVAPPNSSTLVSKPASNHKQV  1250
1251  LRKPASQRASKGSSAEGQLNGLQSSLNPAAFMPITNSTGSLEAPQVIFAR  1300
1301  SKPLPTQSGALATVIGQRKSKSVKSGTI                        1328

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.