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

NucPred

Fetching Q64716 from www.uniprot.org...

The NucPred score for your sequence is 0.25 (see score help below)

   1  MAVPALWPWGVYLLMSLLSLGSCLDTLEVCPSLDIRSEVTELRRLENCSV    50
  51  VEGHLQILLMFAATGEDFRGLSFPRLTQVTDYLLLFRVYGLESLRDLFPN   100
 101  LAVIRGARLFLGYALIIFEMPHLRDIGLPSLGAVLRGAVRVEKNQELCHL   150
 151  STIDWGLLQPAPGANHIVGNKLGEECADVCPGVLGAAGEPCVRTTFGGHT   200
 201  DYRCWTSSHCQRVCPCPRGLACTVGGECCHSECLGGCSQPEDPRACVACR   250
 251  HLYFQGVCLPTCPPGTYQYESWRCVTAELCGHLREVPGHATAFGIYEGSC   300
 301  LAQCPPGFTRNGSSIFCHKCEGLCPKECKVGTKTIDSVQATQDLVGCTHV   350
 351  EGSLILNLRQGYNLEPELQRNLGLVETITGFLKIKHSFALVTLGFFKNLK   400
 401  LIRGDSMVDGNYTLYVLDNQNLQQLGSWVAAGLTIPVGKIYFAFNPRLCL   450
 451  EHIYQLEEVTGTRGRQSKAEINPRTNGDRAACQTRTLRFVFNLTEEDRIL   500
 501  LRWERYEPLEARDLLSFIVYYKESPFQNATEHVGPDACGTQSWNLLDVEL   550
 551  PLSRTQEPGVTLAPLKPWTQYAVFVRAITLTTAEDSPHQGAQSPIVYLRT   600
 601  LPAAPTVPQDVISTSNSSSHLLVRWKPPVQRNGNITYYLVLWQRLAEDGD   650
 651  LYINDYCHRGLRLPTSSHDTRFDREDPALEAEPEQGCCPCQHSPPGQALP   700
 701  ALEAQEVTFQKKFENFLHHAITIPKAPWKVTSINKNPQRDSERHRRETGL   750
 751  LRLGKNNSDFEIHEDKVPRERAVLSGLRHFTEYRIDIHACNHAAHTVGCS   800
 801  AATFVFARTMPHREADGIPGKVVWKAVGKSSVILHWLEPPDPNGLILKYE   850
 851  IKYRRLGEEATVLCVSRLRYAKVGGVHLALLPPGNYSAKVRATSLAGNGS   900
 901  WTDGVAFYITGPEEEDTGGLRILLTVTPVGFMLLVMLAALGFFYSKKRNS   950
 951  TLYTSVNPEYFSASHMYVPDEWEVPREQIAIIRELGQGSFGMVYEGLARG  1000
1001  LEAGEESTPVALKTVNELASARERVEFLKEASVMKAFKCHHVVRLLGVVS  1050
1051  QGQPTLVIMELMTRGDLKSHLRSLRPEAENNPGLPQPALSDMIQMAGEIA  1100
1101  DGMAYLAAKKFVHRDLAARNCMVSQDFTVKIGDFGMTRDVYETDYYRKGG  1150
1151  KGLLPVRWMAPESLKDGIFTTHSDVWSFGVVLWEIVTLAEQPYQGLSNEQ  1200
1201  VLKFVMDGGVLEEQEDCPIQLQELMRRCWQHTPRLRPTFVHILDRIQDEL  1250
1251  RPSFRLCSFYYSPECQRGQASLLPTEAEPDSPPTLNGASDYGPPNGDPGH  1300

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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