| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P53836 from www.uniprot.org...
The NucPred score for your sequence is 0.95 (see score help below)
1 MRIFSGDNKVVDSLASNPGLMSPSNFGGDFGSRLKVNVTSKKKLNDSSPT 50
51 SPMESSPVSPELVPILTLLNAHTHRRYHEGVFLILQDLNNNGTHAARKWK 100
101 DVYGVLLGTQLALWDAKELAEFTDPSCPVSEKKLKEVASKPTYINLTDAT 150
151 LRTLDNSDNIVMECGKNLTNALVVSTTLKNRYFLQFGNKESFNAWNSAIR 200
201 LCLYECSSLQEAYTGAFISSRGAKLGDIRILLTNRKYDYKDWVSVRFGAG 250
251 MPWKRCYAVISQSSSKKKGHFGEINLYENDKKVKKNHAMATIVEAKALYA 300
301 VYPSSPKLIDSSTIIKVVGSVKFEKKESAQEKDVFIMPEKHQAVPSYDTI 350
351 IRFLIPAMDTFKLYGRPEKLLSSKNDPHSLLFGLPVLPHIYYLEVEDLLP 400
401 LTNSVSSLHWSNNEWKEHISDILQRKIAQGYCGCNSTSNITSPLPSPFLG 450
451 SADLFERADGVLSPKLSYGSKSSSNNSSKNSLPKRERVKLSSSSEQDLNN 500
501 SDSPSIKRKSPPLVISESPHKVHTPTDASFRTRVTEGSPYAKQRHPKPFA 550
551 SSVNDSPSDRAKSRTVPYNNNDRKATTPEKFERGETSCGKNVDESLEKVR 600
601 NMKLEIPESNFDKFMTDKNLLSVDSKCSNEKKLSVESDLSAIYEKYSNGP 650
651 FGHTEGLNGSSDETYLRFQRASVHSESNYNSRKSFTPSDFSNGNEEEHAV 700
701 LQELNSLTQRINELGMESINSNSDSDRINGSYSQVDFGNNNDEDDMNLFD 750
751 PDFMAQDQLRAEERDYNKDDRTPLAKVPAAFQSTGLGITPDDDIERQYIT 800
801 EHRSRHEVPKRSPEKPSNPLEIGNPYAKPGTRLNTTHTHSKTDRSITPQR 850
851 GQPVPSGQQISSYVQPANINSPNKMYGANNSAMGSPRNPKTRAPPGPYNQ 900
901 GWNNRPSPSNIYQRPHPSDTQPQAYHLPGNPYSTGNRPNMQAQYHPQQVP 950
951 MPILQQPNRPYQPYAMNTHMGSPGGYAGAAPPFQPANVNYNTRPQQPWPT 1000
1001 PNSPSAHYRPPPNLNQPQNGSAGYYRPPAPQLQNSQARPQKKDGFSQFMP 1050
1051 SATTKNPYAQ 1060
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.) |
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