 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8IN94 from www.uniprot.org...
The NucPred score for your sequence is 0.94 (see score help below)
1 MNEKIKSPQTQQQQQGGAPAPAATPPSAGAAPGAATPPTSGPPTPNNNSN 50
51 NGSDPSIQQQQQNVAPHPYGAPPPPGSGPGGPPGPDPAAVMHYHHLHQQQ 100
101 QQHPPPPHMQQQQHHGGPAPPPPGGAPEHAPGVKEEYTHLPPPHPHPAYG 150
151 RYHADPNMDPYRYGQPLPGGKPPQQQQPHPQQQPPQQPGPGGSPNRPPQQ 200
201 RYIPGQPPQGPTPTLNSLLQSSNPPPPPQHRYANTYDPQQAAASAAAAAA 250
251 AQQQQAGGPPPPGHGPPPPQHQPSPYGGQQGGWAPPPRPYSPQLGPSQQY 300
301 RTPPPTNTSRGQSPYPPAHGQNSGSYPSSPQQQQQQQQQQQQQAGQQPGG 350
351 PVPGGPPPGTGQQPPQQNTPPTSQYSPYPQRYPTPPGLPAGGSNHRTAYS 400
401 THQYPEPNRPWPGGSSPSPGSGHPLPPASPHHVPPLQQQPPPPPHVSAGG 450
451 PPPSSSPGHAPSPSPQPSQASPSPHQELIGQNSNDSSSGGAHSGMGSGPP 500
501 GTPNPQQVMRPTPSPTGSSGSRSMSPAVAQNHPISRPASNQSSSGGPMQQ 550
551 PPVGAGGPPPMPPHPGMPGGPPQQQQSQQQQASNSASSASNSPQQTPPPA 600
601 PPPNQGMNNMATPPPPPQGAAGGGYPMPPHMHGGYKMGGPGQSPGAQGYP 650
651 PQQPQQYPPGNYPPRPQYPPGAYATGPPPPPTSQAGAGGANSMPSGAQAG 700
701 GYPGRGMPNHTGQYPPYQWVPPSPQQTVPGGAPGGAMVGNHVQGKGTPPP 750
751 PVVGGPPPPQGSGSPRPLNYLKQHLQHKGGYGGSPTPPQGPQGYGNGPTG 800
801 MHPGMPMGPPHHMGPPHGPTNMGPPTSTPPQSQMLQGGQPQGQGASGGPE 850
851 SGGPEHISQDNGISSSGPTGAAGMHAVTSVVTTGPDGTSMDEVSQQSTLS 900
901 NASAASGEDPQCTTPKSRKNDPYSQSHLAPPSTSPHPVVMHPGGGPGEEY 950
951 DMSSPPNWPRPAGSPQVFNHVPVPQEPFRSTITTTKKSDSLCKLYEMDDN 1000
1001 PDRRGWLDKLRAFMEERRTPITACPTISKQPLDLYRLYIYVKERGGFVEV 1050
1051 TKSKTWKDIAGLLGIGASSSAAYTLRKHYTKNLLTFECHFDRGDIDPLPI 1100
1101 IQQVEAGSKKKTAKAASVPSPGGGHLDAGTTNSTGSSNSQDSFPAPPGSA 1150
1151 PNAAIDGYPGYPGGSPYPVASGPQPDYATAGQMQRPPSQNNPQTPHPGAA 1200
1201 AAVAAGDNISVSNPFEDPIAAGGGPGSGTGPGPGQGPGPGAASGGAGAVG 1250
1251 AVGGGPQPHPPPPHSPHTAAQQAAGQHQQQHPQHQHPGLPGPPPPQQQQG 1300
1301 QQGQQPPPSVGGGPPPAPQQHGPGQVPPSPQQHVRPAAGAPYPPGGSGYP 1350
1351 TPVSRTPGSPYPSQPGAYGQYGSSDQYNATGPPGQPFGQGPGQYPPQNRN 1400
1401 MYPPYGPEGEAPPTGANQYGPYGSRPYSQPPPGGPQPPTQTVAGGPPAGG 1450
1451 APGAPPSSAYPTGRPSQQDYYQPPPDQSPQPRRHPDFIKDSQPYPGYNAR 1500
1501 PQIYGAWQSGTQQYRPQYPSSPAPQNWGGAPPRGAAPPPGAPHGPPIQQP 1550
1551 AGVAQWDQHRYPPQQGPPPPPQQQQQPQQQQQQPPYQQVAGPPGQQPPQA 1600
1601 PPQWAQMNPGQTAQSGIAPPGSPLRPPSGPGQQNRMPGMPAQQQQSQQQG 1650
1651 GVPQPPPQQASHGGVPSPGLPQVGPGGMVKPPYAMPPPPSQGVGQQVGQG 1700
1701 PPGGMMSQKPPPMPGQAMQQQPLQQQPPSHQHPHPHQHPQHQHPHQMPPN 1750
1751 QTAPGGYGPPGMPGGGAQLVKKELIFPHDSVESTTPVLYRRKRLMKADVC 1800
1801 PVDPWRIFMAMRSGLLTECTWALDVLNVLLFDDSTVQFFGISNLPGLLTL 1850
1851 LLEHFQKNLAEMFDERENEEQSALLAEDADDDADSGTVMCEKLRTSGRQP 1900
1901 RCVRSISSYNRRRHYENMDRSGKDGAGNGSDSEDADEGIDLGQVRVQPNP 1950
1951 EERSLLLSFTPNYTMVTRKGVPVRIQPAENDIFVDERQKAWDIDTNRLYE 2000
2001 QLEPVGSDAWTYGFTEPDPLDGIIDVFKSEIVNIPFARYIRSDKKGRKRT 2050
2051 ELASSSRKPEIKTEENSTEEQTFNKKRRLVSGGSSSSGAHAEGKKSKLTS 2100
2101 EEFAQPNAEVKKEPGTADSDCRPVDMDIEAPQQRLTNGVAPCSSTPAIFD 2150
2151 PRTTAKDEARVLQRRRDSSFEDECYTRDEASLHLVSESQDSLARRCIALS 2200
2201 NIFRNLTFVPGNETVLAKSTRFLAVLGRLLLLNHEHLRRTPKTRNYDREE 2250
2251 DTDFSDSCSSLQGEREWWWDYLITIRENMLVAMANIAGHLELSRYDELIA 2300
2301 RPLIDGLLHWAVCPSAHGQDPFPSCGPNSVLSPQRLALEALCKLCVTDAN 2350
2351 VDLVIATPPFSRLEKLCAVLTRHLCRNEDQVLREFSVNLLHYLAAADSAM 2400
2401 ARTVALQSPCISYLVAFIEQAEQTALGVANQHGINYLRENPDSMGTSLDM 2450
2451 LRRAAGTLLHLAKHPDNRSLFMQQEQRLLGLVMSHILDQQVALIISRVLY 2500
2501 QVSRGTGPIHSVEFRLLQQRQQQQLRPGPAGKQAASAGGSATVKAETAST 2550
2551 ETSSTEAKPAPAATTAVVNDENSNSSQQLPPAATFNDVSNSSTNSNSCGT 2600
2601 ASSNQTNNSTTNSSHSSSAISSQSAITVAAPSAAATGAGSATAAAIASDQ 2650
2651 QQVSKVAAAAAAAAALSNASAAAAAAAAAAAASVGPPTSSSVSAGAAVAQ 2700
2701 PAAPPPTNAGTTTAVA 2716
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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