 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8R151 from www.uniprot.org...
The NucPred score for your sequence is 0.92 (see score help below)
1 MEDRRPHLEARPRNPPANHRGPMDGELPPRARNQTNNPAATNHAGRHLRA 50
51 SNHPAPFRQREERFRAMGRNPHQGRRNQEGHTSDEARDQRQSQNDTRRRN 100
101 DDQEGRSHRPPWSSDTFQQWHTPPQKPGEQPQQTKRLGYKFLESLLQKEP 150
151 SEVAITLATSLGLKELLSHSSMKPSFLQLICQVLRKACSSRIDRQSILHV 200
201 LGILNNSKFLRVCLPAYVVGMITEPSPDIRNQYPEHISNIISLLQDLVSV 250
251 FPASSMQETSMLISLLPTSLNALRASGVDIEEETEKNLEKVQAIIKYLQE 300
301 KRRQGSLRVDTYTLVQAEAEGEVESYRAMPIYPTYNEVHLDEKPFLRPNI 350
351 ISGKYESTAVYLDTHFRLLREDFVRPLREGILKLLQSFEDQCLRKRKFDD 400
401 IRIYFDARIITPMCSASGIVYKVQFDTKPLKLVRWQNSKRLLYGSLVCMS 450
451 KDNFETFLFATVSNREHEDLCQGIVQLCFNEQSQQLLADVQPSDSFLMVE 500
501 TTAYFEAYRHVLEGLQEVQEEDVPFQRNIVQCDSYVRNPRYLLMGGRYDF 550
551 TPLMENPSAMRKSLRGAEALRHPRINVFDFGQWPSKEALKLDDSQMEALQ 600
601 FALTKELAIIQGPPGTGKTYVGLKIVQALLTNKSVWQINTQTFPILVVCY 650
651 TNHALDQFLEGIYGCQKTSIVRVGGRSNSEILKQFTLRELRNKREFRRTL 700
701 PMHLRRAYMSIVTEMKESEQKLQEGAQTLECTMHGVLREQHLEKYISAQH 750
751 WESLMSGPVQDADWVCVQPSKHSMILEWLGLGVGSFTQSASPAGPENTAQ 800
801 AEGEEEEEGEEEGSLIEIAEEADLIQADRVIEEEEVVRPRRRKKEENGTD 850
851 QELAKMLLAMRLDQEVPGTTAGPEQATEEWETQRGQKKKMKRRVKVELRK 900
901 LNTMTKAEANGIQDVWQLDLSSRWQLYRLWLQMYQADTRRRILSYERQYR 950
951 TWAERMAELRLQEDLHILKDAEVVGMTTTGAAKYRQILQQVEPRIVIVEE 1000
1001 AAEVLEAHTIATLSKACQHLILIGDHQQLRPSANVYDLAKNFNLEVSLFE 1050
1051 RLVKVNIPFVRLNYQHRMRPEIARLLTPHIYQDLENHPSVLKYEQIKGVS 1100
1101 SNLFFVEHNFPEQEIQEGKSHQNQHEAHFVVELCQYLLCQEYLPSQITIL 1150
1151 TTYTGQLFCLRKLMPVKTFAGIKVHVVDKYQGEENDIILLSLVRSNQEGK 1200
1201 VGFLQIPNRICVALSRAKKGMYCIGNMQMLAKVPLWSRIIHTLRENNQIG 1250
1251 PSLRLCCQNHPETHTLVSKASDFQKVPEGGCSRPCEFRLACGHVCTRACH 1300
1301 PYDSSHKEFQCMKPCQKVLCQDGHRCPNVCFQECQPCQVKVPKIILKCGH 1350
1351 KQMVPCSMSESEFCCQEPCSKILRCGHRCSHLCGEDCVRLCSERVTVELK 1400
1401 CGHSQLVKCGNVEDIKYGLPVKCTTKCDTTLDCGHPCPGSCHSCFEGRFH 1450
1451 ERCQQPCKRLLICSHKCQEPCTGECPPCQRTCQNRCVHSQCKKKCGELCS 1500
1501 PCVEPCVWRCQHYQCTKLCSEPCNRPPCYVPCTKLLACGHPCIGLCGEPC 1550
1551 PKKCRVCQPDEVTQIFFGFEDEPDARFVQLEDCSHIFEVQALDRFMNEQK 1600
1601 DDEVAIKLKVCPICQVPIRKNLRYGTSIKQRLEEIEIVKEKIQGSAGEIS 1650
1651 TSQEQLKALLKSKTLFHQLRPEEFLILQEKLAQKNLSVKDLGLVENSIRF 1700
1701 YDHLANLEGSLEKVHCGEQQSVRTRLEQVHEWLAKKRLSFSSQELSDLQS 1750
1751 EIQRLTYLVNLLMRCKMAEKVKGSIAEEVSSIRNILEKTSKFTQEDEQLV 1800
1801 QKKMDALKTTLPCSGLGISDEERVQIVTAMGVPRGHWFKCPNGHIYVITE 1850
1851 CGGAMQRSTCPECQEVIGGENHTLERSNHLASEMDGAQHPAWSNTANNFM 1900
1901 NFEEIHRMM 1909
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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