 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8NF91 from www.uniprot.org...
The NucPred score for your sequence is 0.95 (see score help below)
1 MATSRGASRCPRDIANVMQRLQDEQEIVQKRTFTKWINSHLAKRKPPMVV 50
51 DDLFEDMKDGVKLLALLEVLSGQKLPCEQGRRMKRIHAVANIGTALKFLE 100
101 GRKIKLVNINSTDIADGRPSIVLGLMWTIILYFQIEELTSNLPQLQSLSS 150
151 SASSVDSIVSSETPSPPSKRKVTTKIQGNAKKALLKWVQYTAGKQTGIEV 200
201 KDFGKSWRSGVAFHSVIHAIRPELVDLETVKGRSNRENLEDAFTIAETEL 250
251 GIPRLLDPEDVDVDKPDEKSIMTYVAQFLKHYPDIHNASTDGQEDDEILP 300
301 GFPSFANSVQNFKREDRVIFKEMKVWIEQFERDLTRAQMVESNLQDKYQS 350
351 FKHFRVQYEMKRKQIEHLIQPLHRDGKLSLDQALVKQSWDRVTSRLFDWH 400
401 IQLDKSLPAPLGTIGAWLYRAEVALREEITVQQVHEETANTIQRKLEQHK 450
451 DLLQNTDAHKRAFHEIYRTRSVNGIPVPPDQLEDMAERFHFVSSTSELHL 500
501 MKMEFLELKYRLLSLLVLAESKLKSWIIKYGRRESVEQLLQNYVSFIENS 550
551 KFFEQYEVTYQILKQTAEMYVKADGSVEEAENVMKFMNETTAQWRNLSVE 600
601 VRSVRSMLEEVISNWDRYGNTVASLQAWLEDAEKMLNQSENAKKDFFRNL 650
651 PHWIQQHTAMNDAGNFLIETCDEMVSRDLKQQLLLLNGRWRELFMEVKQY 700
701 AQADEMDRMKKEYTDCVVTLSAFATEAHKKLSEPLEVSFMNVKLLIQDLE 750
751 DIEQRVPVMDAQYKIITKTAHLITKESPQEEGKEMFATMSKLKEQLTKVK 800
801 ECYSPLLYESQQLLIPLEELEKQMTSFYDSLGKINEIITVLEREAQSSAL 850
851 FKQKHQELLACQENCKKTLTLIEKGSQSVQKFVTLSNVLKHFDQTRLQRQ 900
901 IADIHVAFQSMVKKTGDWKKHVETNSRLMKKFEESRAELEKVLRIAQEGL 950
951 EEKGDPEELLRRHTEFFSQLDQRVLNAFLKACDELTDILPEQEQQGLQEA 1000
1001 VRKLHKQWKDLQGEAPYHLLHLKIDVEKNRFLASVEECRTELDRETKLMP 1050
1051 QEGSEKIIKEHRVFFSDKGPHHLCEKRLQLIEELCVKLPVRDPVRDTPGT 1100
1101 CHVTLKELRAAIDSTYRKLMEDPDKWKDYTSRFSEFSSWISTNETQLKGI 1150
1151 KGEAIDTANHGEVKRAVEEIRNGVTKRGETLSWLKSRLKVLTEVSSENEA 1200
1201 QKQGDELAKLSSSFKALVTLLSEVEKMLSNFGDCVQYKEIVKNSLEELIS 1250
1251 GSKEVQEQAEKILDTENLFEAQQLLLHHQQKTKRISAKKRDVQQQIAQAQ 1300
1301 QGEGGLPDRGHEELRKLESTLDGLERSRERQERRIQVTLRKWERFETNKE 1350
1351 TVVRYLFQTGSSHERFLSFSSLESLSSELEQTKEFSKRTESIAVQAENLV 1400
1401 KEASEIPLGPQNKQLLQQQAKSIKEQVKKLEDTLEEDIKTMEMVKTKWDH 1450
1451 FGSNFETLSVWITEKEKELNALETSSSAMDMQISQIKVTIQEIESKLSSI 1500
1501 VGLEEEAQSFAQFVTTGESARIKAKLTQIRRYGEELREHAQCLEGTILGH 1550
1551 LSQQQKFEENLRKIQQSVSEFEDKLAVPIKICSSATETYKVLQEHMDLCQ 1600
1601 ALESLSSAITAFSASARKVVNRDSCVQEAAALQQQYEDILRRAKERQTAL 1650
1651 ENLLAHWQRLEKELSSFLTWLERGEAKASSPEMDISADRVKVEGELQLIQ 1700
1701 ALQNEVVSQASFYSKLLQLKESLFSVASKDDVKMMKLHLEQLDERWRDLP 1750
1751 QIINKRINFLQSVVAEHQQFDELLLSFSVWIKLFLSELQTTSEISIMDHQ 1800
1801 VALTRHKDHAAEVESKKGELQSLQGHLAKLGSLGRAEDLHLLQGKAEDCF 1850
1851 QLFEEASQVVERRQLALSHLAEFLQSHASLSGILRQLRQTVEATNSMNKN 1900
1901 ESDLIEKDLNDALQNAKALESAAVSLDGILSKAQYHLKIGSSEQRTSCRA 1950
1951 TADQLCGEVERIQNLLGTKQSEADALAVLKKAFQDQKEELLKSIEDIEER 2000
2001 TDKERLKEPTRQALQQRLRVFNQLEDELNSHEHELCWLKDKAKQIAQKDV 2050
2051 AFAPEVDREINRLEVTWDDTKRLIHENQGQCCGLIDLMREYQNLKSAVSK 2100
2101 VLENASSVIVTRTTIKDQEDLKWAFSKHETAKNKMNYKQKDLDNFTSKGK 2150
2151 HLLSELKKIHSSDFSLVKTDMESTVDKWLDVSEKLEENMDRLRVSLSIWD 2200
2201 DVLSTRDEIEGWSNNCVPQMAENISNLDNHLRAEELLKEFESEVKNKALR 2250
2251 LEELHSKVNDLKELTKNLETPPDLQFIEADLMQKLEHAKEITEVAKGTLK 2300
2301 DFTAQSTQVEKFINDITTWFTKVEESLMNCAQNETCEALKKVKDIQKELQ 2350
2351 SQQSNISSTQENLNSLCRKYHSAELESLGRAMTGLIKKHEAVSQLCSKTQ 2400
2401 ASLQESLEKHFSESMQEFQEWFLGAKAAAKESSDRTGDSKVLEAKLHDLQ 2450
2451 NILDSVSDGQSKLDAVTQEGQTLYAHLSKQIVSSIQEQITKANEEFQAFL 2500
2501 KQCLKDKQALQDCASELGSFEDQHRKLNLWIHEMEERFNTENLGESKQHI 2550
2551 PEKKNEVHKVEMFLGELLAARESLDKLSQRGQLLSEEGHGAGQEGRLCSQ 2600
2601 LLTSHQNLLRMTKEKLRSCQVALQEHEALEEALQSMWFWVKAIQDRLACA 2650
2651 ESTLGSKDTLEKRLSQIQDILLMKGEGEVKLNMAIGKGEQALRSSNKEGQ 2700
2701 RVIQTQLETLKEVWADIMSSSVHAQSTLESVISQWNDYVERKNQLEQWME 2750
2751 SVDQKIEHPLQPQPGLKEKFVLLDHLQSILSEAEDHTRALHRLIAKSREL 2800
2801 YEKTEDESFKDTAQEELKTQFNDIMTVAKEKMRKVEEIVKDHLMYLDAVH 2850
2851 EFTDWLHSAKEELHRWSDMSGDSSATQKKLSKIKELIDSREIGASRLSRV 2900
2901 ESLAPEVKQNTTASGCELMHTEMQALRADWKQWEDSVFQTQSCLENLVSQ 2950
2951 MALSEQEFSGQVAQLEQALEQFSALLKTWAQQLTLLEGKNTDEEIVECWH 3000
3001 KGQEILDALQKAEPRTEDLKSQLNELCRFSRDLSTYSGKVSGLIKEYNCL 3050
3051 CLQASKGCQNKEQILQQRFRKAFRDFQQWLVNAKITTAKCFDIPQNISEV 3100
3101 STSLQKIQEFLSESENGQHKLNMMLSKGELLSTLLTKEKAKGIQAKVTAA 3150
3151 KEDWKNFHSNLHQKESALENLKIQMKDFEVSAEPIQDWLSKTEKMVHESS 3200
3201 NRLYDLPAKRREQQKLQSVLEEIHCYEPQLNRLKEKAQQLWEGQAASKSF 3250
3251 RHRVSQLSSQYLALSNLTKEKVSRLDRIVAEHNQFSLGIKELQDWMTDAI 3300
3301 HMLDSYCHPTSDKSVLDSRTLKLEALLSVKQEKEIQMKMIVTRGESVLQN 3350
3351 TSPEGIPTIQQQLQSVKDMWASLLSAGIRCKSQLEGALSKWTSYQDGVRQ 3400
3401 FSGWMDSMEANLNESERQHAELRDKTTMLGKAKLLNEEVLSYSSLLETIE 3450
3451 VKGAGMTEHYVTQLELQDLQERYRAIQERAKEAVTKSEKLVRLHQEYQRD 3500
3501 LKAFEVWLGQEQEKLDQYSVLEGDAHTHETTLRDLQELQVHCAEGQALLN 3550
3551 SVLHTREDVIPSGIPQAEDRALESLRQDWQAYQHRLSETRTQFNNVVNKL 3600
3601 RLMEQKFQQVDEWLKTAEEKVSPRTRRQSNRATKEIQLHQMKKWHEEVTA 3650
3651 YRDEVEEVGARAQEILDESHVNSRMGCQATQLTSRYQALLLQVLEQIKFL 3700
3701 EEEIQSLEESESSLSSYSDWYGSTHKNFKNVATKIDKVDTVMMGKKLKTL 3750
3751 EVLLKDMEKGHSLLKSAREKGERAVKYLEEGEAERLRKEIHDHMEQLKEL 3800
3801 TSTVRKEHMTLEKGLHLAKEFSDKCKALTQWIAEYQEILHVPEEPKMELY 3850
3851 EKKAQLSKYKSLQQTVLSHEPSVKSVREKGEALLELVQDVTLKDKIDQLQ 3900
3901 SDYQDLCSIGKEHVFSLEAKVKDHEDYNSELQEVEKWLLQMSGRLVAPDL 3950
3951 LETSSLETITQQLAHHKAMMEEIAGFEDRLNNLQMKGDTLIGQCADHLQA 4000
4001 KLKQNVHAHLQGTKDSYSAICSTAQRMYQSLEHELQKHVSRQDTLQQCQA 4050
4051 WLSAVQPDLEPSPQPPLSRAEAIKQVKHFRALQEQARTYLDLLCSMCDLS 4100
4101 NASVKTTAKDIQQTEQTIEQKLVQAQNLTQGWEEIKHLKSELWIYLQDAD 4150
4151 QQLQNMKRRHSELELNIAQNMVSQVKDFVKKLQSKQASVNTIIEKVNKLT 4200
4201 KKEESPEHKEINHLNDQWLDLCRQSNNLCLQREEDLQRTRDYHDCMNVVE 4250
4251 VFLEKFTTEWDNLARSDAESTAVHLEALKKLALALQERKYAIEDLKDQKQ 4300
4301 KMIEHLNLDDKELVKEQTSHLEQRWFQLEDLIKRKIQVSVTNLEELNVVQ 4350
4351 SRFQELMEWAEEQQPNIAEALKQSPPPDMAQNLLMDHLAICSELEAKQML 4400
4401 LKSLIKDADRVMADLGLNERQVIQKALSDAQSHVNCLSDLVGQRRKYLNK 4450
4451 ALSEKTQFLMAVFQATSQIQQHERKIMFREHICLLPDDVSKQVKTCKSAQ 4500
4501 ASLKTYQNEVTGLWAQGRELMKEVTEQEKSEVLGKLQELQSVYDSVLQKC 4550
4551 SHRLQELEKNLVSRKHFKEDFDKACHWLKQADIVTFPEINLMNESSELHT 4600
4601 QLAKYQNILEQSPEYENLLLTLQRTGQTILPSLNEVDHSYLSEKLNALPR 4650
4651 QFNVIVALAKDKFYKVQEAILARKEYASLIELTTQSLSELEAQFLRMSKV 4700
4701 PTDLAVEEALSLQDGCRAILDEVAGLGEAVDELNQKKEGFRSTGQPWQPD 4750
4751 KMLHLVTLYHRLKRQTEQRVSLLEDTTSAYQEHEKMCQQLERQLKSVKEE 4800
4801 QSKVNEETLPAEEKLKMYHSLAGSLQDSGIVLKRVTIHLEDLAPHLDPLA 4850
4851 YEKARHQIQSWQGELKLLTSAIGETVTECESRMVQSIDFQTEMSRSLDWL 4900
4901 RRVKAELSGPVYLDLNLQDIQEEIRKIQIHQEEVQSSLRIMNALSHKEKE 4950
4951 KFTKAKELISADLEHSLAELSELDGDIQEALRTRQATLTEIYSQCQRYYQ 5000
5001 VFQAANDWLEDAQELLQLAGNGLDVESAEENLKSHMEFFSTEDQFHSNLE 5050
5051 ELHSLVATLDPLIKPTGKEDLEQKVASLELRSQRMSRDSGAQVDLLQRCT 5100
5101 AQWHDYQKAREEVIELMNDTEKKLSEFSLLKTSSSHEAEEKLSEHKALVS 5150
5151 VVNSFHEKIVALEEKASQLEKTGNDASKATLSRSMTTVWQRWTRLRAVAQ 5200
5201 DQEKILEDAVDEWTGFNNKVKKATEMIDQLQDKLPGSSAEKASKAELLTL 5250
5251 LEYHDTFVLELEQQQSALGMLRQQTLSMLQDGAAPTPGEEPPLMQEITAM 5300
5301 QDRCLNMQEKVKTNGKLVKQELKDREMVETQINSVKCWVQETKEYLGNPT 5350
5351 IEIDAQLEELQILLTEATNHRQNIEKMAEEQKEKYLGLYTILPSELSLQL 5400
5401 AEVALDLKIRDQIQDKIKEVEQSKATSQELSRQIQKLAKDLTTILTKLKA 5450
5451 KTDNVVQAKTDQKVLGEELDGCNSKLMELDAAVQKFLEQNGQLGKPLAKK 5500
5501 IGKLTELHQQTIRQAENRLSKLNQAASHLEEYNEMLELILKWIEKAKVLA 5550
5551 HGTIAWNSASQLREQYILHQTLLEESKEIDSELEAMTEKLQYLTSVYCTE 5600
5601 KMSQQVAELGRETEELRQMIKIRLQNLQDAAKDMKKFEAELKKLQAALEQ 5650
5651 AQATLTSPEVGRLSLKEQLSHRQHLLSEMESLKPKVQAVQLCQSALRIPE 5700
5701 DVVASLPLCHAALRLQEEASRLQHTAIQQCNIMQEAVVQYEQYEQEMKHL 5750
5751 QQLIEGAHREIEDKPVATSNIQELQAQISRHEELAQKIKGYQEQIASLNS 5800
5801 KCKMLTMKAKHATMLLTVTEVEGLAEGTEDLDGELLPTPSAHPSVVMMTA 5850
5851 GRCHTLLSPVTEESGEEGTNSEISSPPACRSPSPVANTDASVNQDIAYYQ 5900
5901 ALSAERLQTDAAKIHPSTSASQEFYEPGLEPSATAKLGDLQRSWETLKNV 5950
5951 ISEKQRTLYEALERQQKYQDSLQSISTKMEAIELKLSESPEPGRSPESQM 6000
6001 AEHQALMDEILMLQDEINELQSSLAEELVSESCEADPAEQLALQSTLTVL 6050
6051 AERMSTIRMKASGKRQLLEEKLNDQLEEQRQEQALQRYRCEADELDSWLL 6100
6101 STKATLDTALSPPKEPMDMEAQLMDCQNMLVEIEQKVVALSELSVHNENL 6150
6151 LLEGKAHTKDEAEQLAGKLRRLKGSLLELQRALHDKQLNMQGTAQEKEES 6200
6201 DVDLTATQSPGVQEWLAQARTTWTQQRQSSLQQQKELEQELAEQKSLLRS 6250
6251 VASRGEEILIQHSAAETSGDAGEKPDVLSQELGMEGEKSSAEDQMRMKWE 6300
6301 SLHQEFSTKQKLLQNVLEQEQEQVLYSRPNRLLSGVPLYKGDVPTQDKSA 6350
6351 VTSLLDGLNQAFEEVSSQSGGAKRQSIHLEQKLYDGVSATSTWLDDVEER 6400
6401 LFVATALLPEETETCLFNQEILAKDIKEMSEEMDKNKNLFSQAFPENGDN 6450
6451 RDVIEDTLGCLLGRLSLLDSVVNQRCHQMKERLQQILNFQNDLKVLFTSL 6500
6501 ADNKYIILQKLANVFEQPVAEQIEAIQQAEDGLKEFDAGIIELKRRGDKL 6550
6551 QVEQPSMQELSKLQDMYDELMMIIGSRRSGLNQNLTLKSQYERALQDLAD 6600
6601 LLETGQEKMAGDQKIIVSSKEEIQQLLDKHKEYFQGLESHMILTETLFRK 6650
6651 IISFAVQKETQFHTELMAQASAVLKRAHKRGVELEYILETWSHLDEDQQE 6700
6701 LSRQLEVVESSIPSVGLVEENEDRLIDRITLYQHLKSSLNEYQPKLYQVL 6750
6751 DDGKRLLISISCSDLESQLNQLGECWLSNTNKMSKELHRLETILKHWTRY 6800
6801 QSESADLIHWLQSAKDRLEFWTQQSVTVPQELEMVRDHLNAFLEFSKEVD 6850
6851 AQSSLKSSVLSTGNQLLRLKKVDTATLRSELSRIDSQWTDLLTNIPAVQE 6900
6901 KLHQLQMDKLPSRHAISEVMSWISLMENVIQKDEDNIKNSIGYKAIHEYL 6950
6951 QKYKGFKIDINCKQLTVDFVNQSVLQISSQDVESKRSDKTDFAEQLGAMN 7000
7001 KSWQILQGLVTEKIQLLEGLLESWSEYENNVQCLKTWFETQEKRLKQQHR 7050
7051 IGDQASVQNALKDCQDLEDLIKAKEKEVEKIEQNGLALIQNKKEDVSSIV 7100
7101 MSTLRELGQTWANLDHMVGQLKILLKSVLDQWSSHKVAFDKINSYLMEAR 7150
7151 YSLSRFRLLTGSLEAVQVQVDNLQNLQDDLEKQERSLQKFGSITNQLLKE 7200
7201 CHPPVTETLTNTLKEVNMRWNNLLEEIAEQLQSSKALLQLWQRYKDYSKQ 7250
7251 CASTVQQQEDRTNELLKAATNKDIADDEVATWIQDCNDLLKGLGTVKDSL 7300
7301 FFLHELGEQLKQQVDASAASAIQSDQLSLSQHLCALEQALCKQQTSLQAG 7350
7351 VLDYETFAKSLEALEAWIVEAEEILQGQDPSHSSDLSTIQERMEELKGQM 7400
7401 LKFSSMAPDLDRLNELGYRLPLNDKEIKRMQNLNRHWSLISSQTTERFSK 7450
7451 LQSFLLQHQTFLEKCETWMEFLVQTEQKLAVEISGNYQHLLEQQRAHELF 7500
7501 QAEMFSRQQILHSIIIDGQRLLEQGQVDDRDEFNLKLTLLSNQWQGVIRR 7550
7551 AQQRRGIIDSQIRQWQRYREMAEKLRKWLVEVSYLPMSGLGSVPIPLQQA 7600
7601 RTLFDEVQFKEKVFLRQQGSYILTVEAGKQLLLSADSGAEAALQAELAEI 7650
7651 QEKWKSASMRLEEQKKKLAFLLKDWEKCEKGIADSLEKLRTFKKKLSQSL 7700
7701 PDHHEELHAEQMRCKELENAVGSWTDDLTQLSLLKDTLSAYISADDISIL 7750
7751 NERVELLQRQWEELCHQLSLRRQQIGERLNEWAVFSEKNKELCEWLTQME 7800
7801 SKVSQNGDILIEEMIEKLKKDYQEEIAIAQENKIQLQQMGERLAKASHES 7850
7851 KASEIEYKLGKVNDRWQHLLDLIAARVKKLKETLVAVQQLDKNMSSLRTW 7900
7901 LAHIESELAKPIVYDSCNSEEIQRKLNEQQELQRDIEKHSTGVASVLNLC 7950
7951 EVLLHDCDACATDAECDSIQQATRNLDRRWRNICAMSMERRLKIEETWRL 8000
8001 WQKFLDDYSRFEDWLKSSERTAAFPSSSGVIYTVAKEELKKFEAFQRQVH 8050
8051 ECLTQLELINKQYRRLARENRTDSACSLKQMVHEGNQRWDNLQKRVTSIL 8100
8101 RRLKHFIGQREEFETARDSILVWLTEMDLQLTNIEHFSECDVQAKIKQLK 8150
8151 AFQQEISLNHNKIEQIIAQGEQLIEKSEPLDAAIIEEELDELRRYCQEVF 8200
8201 GRVERYHKKLIRLPLPDDEHDLSDRELELEDSAALSDLHWHDRSADSLLS 8250
8251 PQPSSNLSLSLAQPLRSERSGRDTPASVDSIPLEWDHDYDLSRDLESAMS 8300
8301 RALPSEDEEGQDDKDFYLRGAVGLSGDHSALESQIRQLGKALDDSRFQIQ 8350
8351 QTENIIRSKTPTGPELDTSYKGYMKLLGECSSSIDSVKRLEHKLKEEEES 8400
8401 LPGFVNLHSTETQTAGVIDRWELLQAQALSKELRMKQNLQKWQQFNSDLN 8450
8451 SIWAWLGDTEEELEQLQRLELSTDIQTIELQIKKLKELQKAVDHRKAIIL 8500
8501 SINLCSPEFTQADSKESRDLQDRLSQMNGRWDRVCSLLEEWRGLLQDALM 8550
8551 QCQGFHEMSHGLLLMLENIDRRKNEIVPIDSNLDAEILQDHHKQLMQIKH 8600
8601 ELLESQLRVASLQDMSCQLLVNAEGTDCLEAKEKVHVIGNRLKLLLKEVS 8650
8651 RHIKELEKLLDVSSSQQDLSSWSSADELDTSGSVSPTSGRSTPNRQKTPR 8700
8701 GKCSLSQPGPSVSSPHSRSTKGGSDSSLSEPGPGRSGRGFLFRVLRAALP 8750
8751 LQLLLLLLIGLACLVPMSEEDYSCALSNNFARSFHPMLRYTNGPPPL 8797
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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