 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q05469 from www.uniprot.org...
The NucPred score for your sequence is 0.67 (see score help below)
1 MEPGSKSVSRSDWQPEPHQRPITPLEPGPEKTPIAQPESKTLQGSNTQQK 50
51 PASNQRPLTQQETPAQHDAESQKEPRAQQKSASQEEFLAPQKPAPQQSPY 100
101 IQRVLLTQQEAASQQGPGLGKESITQQEPALRQRHVAQPGPGPGEPPPAQ 150
151 QEAESTPAAQAKPGAKREPSAPTESTSQETPEQSDKQTTPVQGAKSKQGS 200
201 LTELGFLTKLQELSIQRSALEWKALSEWVTDSESESDVGSSSDTDSPATM 250
251 GGMVAQGVKLGFKGKSGYKVMSGYSGTSPHEKTSARNHRHYQDTASRLIH 300
301 NMDLRTMTQSLVTLAEDNIAFFSSQGPGETAQRLSGVFAGVREQALGLEP 350
351 ALGRLLGVAHLFDLDPETPANGYRSLVHTARCCLAHLLHKSRYVASNRRS 400
401 IFFRTSHNLAELEAYLAALTQLRALVYYAQRLLVTNRPGVLFFEGDEGLT 450
451 ADFLREYVTLHKGCFYGRCLGFQFTPAIRPFLQTISIGLVSFGEHYKRNE 500
501 TGLSVAASSLFTSGRFAIDPELRGAEFERITQNLDVHFWKAFWNITEMEV 550
551 LSSLANMASATVRVSRLLSLPPEAFEMPLTADPTLTVTISPPLAHTGPGP 600
601 VLVRLISYDLREGQDSEELSSLIKSNGQRSLELWPRPQQAPRSRSLIVHF 650
651 HGGGFVAQTSRSHEPYLKSWAQELGAPIISIDYSLAPEAPFPRALEECFF 700
701 AYCWAIKHCALLGSTGERICLAGDSAGGNLCFTVALRAAAYGVRVPDGIM 750
751 AAYPATMLQPAASPSRLLSLMDPLLPLSVLSKCVSAYAGAKTEDHSNSDQ 800
801 KALGMMGLVRRDTALLLRDFRLGASSWLNSFLELSGRKSQKMSEPIAEPM 850
851 RRSVSEAALAQPQGPLGTDSLKNLTLRDLSLRGNSETSSDTPEMSLSAET 900
901 LSPSTPSDVNFLLPPEDAGEEAEAKNELSPMDRGLGVRAAFPEGFHPRRS 950
951 SQGATQMPLYSSPIVKNPFMSPLLAPDSMLKSLPPVHIVACALDPMLDDS 1000
1001 VMLARRLRNLGQPVTLRVVEDLPHGFLTLAALCRETRQAAELCVERIRLV 1050
1051 LTPPAGAGPSGETGAAGVDGGCGGRH 1076
Positively and negatively influencing subsequences are coloured according to the following scale:
(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)
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.