 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P42694 from www.uniprot.org...
The NucPred score for your sequence is 0.92 (see score help below)
1 MEDRRAEKSCEQACESLKRQDYEMALKHCTEALLSLGQYSMADFTGPCPL 50
51 EIERIKIESLLYRIASFLQLKNYVQADEDCRHVLGEGLAKGEDAFRAVLC 100
101 CMQLKGKLQPVSTILAKSLTGESLNGMVTKDLTRLKTLLSETETATSNAL 150
151 SGYHVEDLDEGSCNGWHFRPPPRGITSSEEYTLCKRFLEQGICRYGAQCT 200
201 SAHSQEELAEWQKRYASRLIKLKQQNENKQLSGSYMETLIEKWMNSLSPE 250
251 KVLSECIEGVKVEHNPDLSVTVSTKKSHQTWTFALTCKPARMLYRVALLY 300
301 DAHRPHFSIIAISAGDSTTQVSQEVPENCQEWIGGKMAQNGLDHYVYKVG 350
351 IAFNTEIFGTFRQTIVFDFGLEPVLMQRVMIDAASTEDLEYLMHAKQQLV 400
401 TTAKRWDSSSKTIIDFEPNETTDLEKSLLIRYQIPLSADQLFTQSVLDKS 450
451 LTKSNYQSRLHDLLYIEEIAQYKEISKFNLKVQLQILASFMLTGVSGGAK 500
501 YAQNGQLFGRFKLTETLSEDTLAGRLVMTKVNAVYLLPVPKQKLVQTQGT 550
551 KEKVYEATIEEKTKEYIFLRLSRECCEELNLRPDCDTQVELQFQLNRLPL 600
601 CEMHYALDRIKDNGVLFPDISMTPTIPWSPNRQWDEQLDPRLNAKQKEAV 650
651 LAITTPLAIQLPPVLIIGPYGTGKTFTLAQAVKHILQQQETRILICTHSN 700
701 SAADLYIKDYLHPYVEAGNPQARPLRVYFRNRWVKTVHPVVHQYCLISSA 750
751 HSTFQMPQKEDILKHRVVVVTLNTSQYLCQLDLEPGFFTHILLDEAAQAM 800
801 ECETIMPLALATQNTRIVLAGDHMQLSPFVYSEFARERNLHVSLLDRLYE 850
851 HYPAEFPCRILLCENYRSHEAIINYTSELFYEGKLMASGKQPAHKDFYPL 900
901 TFFTARGEDVQEKNSTAFYNNAEVFEVVERVEELRRKWPVAWGKLDDGSI 950
951 GVVTPYADQVFRIRAELRKKRLSDVNVERVLNVQGKQFRVLFLSTVRTRH 1000
1001 TCKHKQTPIKKKEQLLEDSTEDLDYGFLSNYKLLNTAITRAQSLVAVVGD 1050
1051 PIALCSIGRCRKFWERFIALCHENSSLHGITFEQIKAQLEALELKKTYVL 1100
1101 NPLAPEFIPRALRLQHSGSTNKQQQSPPKGKSLHHTQNDHFQNDGIVQPN 1150
1151 PSVLIGNPIRAYTPPPPLGPHPNLGKSPSPVQRIDPHTGTSILYVPAVYG 1200
1201 GNVVMSVPLPVPWTGYQGRFAVDPRIITHQAAMAYNMNLLQTHGRGSPIP 1250
1251 YGLGHHPPVTIGQPQNQHQEKDQHEQNRNGKSDTNNSGPEINKIRTPEKK 1300
1301 PTEPKQVDLESNPQNRSPESRPSVVYPSTKFPRKDNLNPRHINLPLPAPH 1350
1351 AQYAIPNRHFHPLPQLPRPPFPIPQQHTLLNQQQNNLPEQPNQIPPQPNQ 1400
1401 VVQQQSQLNQQPQQPPPQLSPAYQAGPNNAFFNSAVAHRPQSPPAEAVIP 1450
1451 EQQPPPMLQEGHSPLRAIAQPGPILPSHLNSFIDENPSGLPIGEALDRIH 1500
1501 GSVALETLRQQQARFQQWSEHHAFLSQGSAPYPHHHHPHLQHLPQPPLGL 1550
1551 HQPPVRADWKLTSSAEDEVETTYSRFQDLIRELSHRDQSETRELAEMPPP 1600
1601 QSRLLQYRQVQSRSPPAVPSPPSSTDHSSHFSNFNDNSRDIEVASNPAFP 1650
1651 QRLPPQIFNSPFSLPSEHLAPPPLKYLAPDGAWTFANLQQNHLMGPGFPY 1700
1701 GLPPLPHRPPQNPFVQIQNHQHAIGQEPFHPLSSRTVSSSSLPSLEEYEP 1750
1751 RGPGRPLYQRRISSSSVQPCSEEVSTPQDSLAQCKELQDHSNQSSFNFSS 1800
1801 PESWVNTTSSTPYQNIPCNGSSRTAQPRELIAPPKTVKPPEDQLKSENLE 1850
1851 VSSSFNYSVLQHLGQFPPLMPNKQIAESANSSSPQSSAGGKPAMSYASAL 1900
1901 RAPPKPRPPPEQAKKSSDPLSLFQELSLGSSSGSNGFYSYFK 1942
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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