| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8K0T7 from www.uniprot.org...
The NucPred score for your sequence is 0.98 (see score help below)
1 MVASLFKSLILAYIHKLCKGMFTKKLGNTTKKKENRQQKKDQDFPTAGHT 50
51 KPPKLSNALKSTVKKIAKCSSTRNFSIEDEEGHKDFSLSPTFSYRVAIAN 100
101 GLQTAVTNSDEDLLQELSSIESSYSESFNELRSSTENQVQSTHTMPVRRN 150
151 RKSSSSLAPSEGSSDGERTLHTLKLGALRKLRKWKKSQECVSSDSELSTV 200
201 KKTWGIRSKSLDRTARNPKTNVLEPGFSSSGCISQTHDVMEMIFKELQGI 250
251 SQIETELSELRGHVNALKYSIDEISSSVEVVQSEIEQLRTGFVQARRETR 300
301 DIHDYIKHLGHMGSKVSLRFLNVPEERHEYVESVVYQILIDKMGFSDVPN 350
351 AIKIEFAQRIGQQRDCPNAKPRPILVYFETPQQRDSVLKKSYKLKGTGIG 400
401 ISTDILTYDIRERKEKGVLPSSQTYESMDMKLSTPEPKAKKNAWLSPNDS 450
451 DRELESDLSRSSYADSPAKGSSSKSSSKSHSARSKNKAANSRTSQKSDYN 500
501 KRPSQPPASSTPEKQTPHYVEATPPLWHSQSDFFTLKLSRSESDFSKLCQ 550
551 SYSEDFSESQFFCRTNGSSLLSSSDRELWQRKQEGMPALYHRLQDQGLDE 600
601 TIPAVPGQAEIENTETVDSGMSNSMVCASGDRSNYSGSQLSLHEDLSPWK 650
651 EWNQAGQGTDDVGLDSSTQEPFDYDTNSLSDQQLDLSSKDLDDLGKCHSD 700
701 LQDDSESYDLTQDDNSSPCPGLDNEPQGQWVGQYDSYQEANSNDLYPNQS 750
751 HPSMMYRSQSELQSDDSEGAQPKSWHSRLSIDLSDKTFKFPKFGSTLQRA 800
801 KSALEVVWNKSTQSLSGCEDSGSSLMGRFRTLSQSTANESSTTLDSDIYT 850
851 EPYYYKAEEEEDYCEPVADSETDYVEVMEQVLAKLENRTSITEVNEHIKD 900
901 YDHPSYETPYETPQDEGYDGQADDIISEGELETLNEPAVEMELAEDENQN 950
951 LPAESLEVMKPKRIRPSFKEAALRAYKKQMAELEEKILAGDSSSMDEKAR 1000
1001 IVSGNDLDASKFSALQVFGGAGRGLYGIDSMPDLRRKKTLPIVRDVAMTL 1050
1051 AARKSGLSLAMVIRTSLNNEELKMHVFRKTLQALIYPISSTTPHNFEVWT 1100
1101 ATTPTYCYECEGLLWGIARQGMKCLECGVKCHEKCQDLLNADCLQRAAEK 1150
1151 SSKHGAEDKTQTIITAMKERMKIRERNRPEVFEVIQEMFQISKEDFVQYT 1200
1201 KAAKQSVLDGTSKWSAKITITVVSAQGLQAKDKTGSSDPYVTVQVGKNKR 1250
1251 RTKTIFGNLNPVWDEKFFFECHNSTDRIKVRVWDEDDDIKSRVKQHFKKE 1300
1301 SDDFLGQTIVEVRTLSGEMDVWYNLEKRTDKSAVSGAIRLKINVEIKGEE 1350
1351 KVAPYHIQYTCLHENLFHYLTEVKSNGSVKIPEVKGDEAWKVFFDDASQE 1400
1401 IVDEFAMRYGVESIYQAMTHFSCLSSKYMCPGVPAVMSALLANINAFYAH 1450
1451 TTVSTNVQVSASDRFAATNFGREKFIKLLDQLHNSLRIDLSKYRENFPAS 1500
1501 NSERLQDLKSTVDLLTSITFFRMKVLELQSPPKASAVVKDCVRACLDSTY 1550
1551 KYIFDNCHELYSQLIDPSKKQDVPREDQGPTTKNLDFWPQLITLMVTIID 1600
1601 EDKTAYTPVLNQFPQELNMGKISAEIMWSLFALDMKYALEEHEKQRLCKS 1650
1651 TDYMNLHFKVKWFYNEYVRELPAFKDAVPEYSLWFEPFVMQWLDENEDVS 1700
1701 MEFLHGALGRDKKDGFQQTSDHALFSCSVVDVFAQLNQSFEIIKKLECPN 1750
1751 PEALSHLMRRFAKTINKVLVQYAAIVSNDFSSYCDKETVPCILMNNIQQL 1800
1801 RVQLEKMFESMGGKELDPEASTILKELQIKLNGVLDALSITYGESFQLTI 1850
1851 EECIKQMGAELNQMRANGNSTANKNSAAMDAEIVLRPLMDFLDKTLSLSA 1900
1901 KICEKTVLKRVLKELWKLVLNKIEKQIVLPPLTDQTGPQMIFIAAKDLGQ 1950
1951 LSKLKEHMIREDAKGLTPRQCAIVEVVLATIKQYFHAGGNGLKKNFLEKS 2000
2001 PDLHSLRYALSLYTQTTDALIKKFIETQGSQSRSSKDAVGQISVHVDVTT 2050
2051 TPGTGDHKVTVKVIAINDLNWQTTAMFRPFVEVCMLGPSLGDKKRKQGTK 2100
2101 TKSNTWSPKYNETFQFILGNENRPGAYELHLSVKDYCFAREDRIIGMTVI 2150
2151 QLQNIAEKGSYGAWYPLLKNLSMDETGLTILRILSQRTSDDVAKEFVRLK 2200
2201 SETRSIEESA 2210
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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