 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8CG65 from www.uniprot.org...
The NucPred score for your sequence is 0.59 (see score help below)
1 MLPLALLFGMLWTQANGHWCEQIETVHVEEEVTPRQEDLVPCTSLYHYSR 50
51 LGWQLDLSWSGRVGLTRPPALGLCAIYKPPETRPATWNRTVRACCPGWGG 100
101 AHCTDALAETSPKGHCFVTWHCQPLAGSANSSAGSLEDPADELGVWPLTL 150
151 NDPILFPGMSLQWQGDWLVLSGGLGVVVRLDRSSSISISVDHEFWGRTQG 200
201 LCGLYNGRPEDDFVEPGGGLATLAATFGNSWKLPGSEPGCLDAVEVAWGC 250
251 ESLLGGTLTDLEAVKLQAQAQDMCHQLLEGPFWQCHGQVQPDEYHETCLF 300
301 AYCVGATAGNGPEGQLEAVCATFANYAQACARQHIYVHWRKPGFCERVCP 350
351 GGQLYSDCVSSCPPSCSAVAQGEEGSCGKECVSGCECPTGLFWDGALCVP 400
401 AAHCPCYHRRQRYAPGDTVKQQCNPCVCQDGRWHCAQALCPAECAVGGDG 450
451 HYFTFDGRSFFFRGTPGCHYSLVQDSVKGQLLVVLEHGACDTGSCLHALS 500
501 VFLGNTHIQLRYSGAVLVDGEDVDLPWIGVEGFNISWASSTFLLLHWPGA 550
551 WVLWGVAEPAAYITLDPRHAYQVQGLCGTFTWKQQDDFLTPAGDIETSVT 600
601 AFASKFQVSGDGRCPLVDKSPLFCSSYSQHLTFTEAACAILHGHAFQECH 650
651 GLVDREPFRLRCLEAVCGCAPGRDCLCPVLSAYTRHCAQEGVLLQWRNET 700
701 LCPVSCPGGQVYQECAPVCGHHCGEPEDCKELGICVAGCNCPPGLLWDLE 750
751 GQCVPPSMCHCQFGGHRYTINTTTVRDCSHCICQERGLWNCTAHHCPRQW 800
801 ALCPRELIYVPGACLLTCDSPRANHSCWAGSTDGCVCPPGTVLLDKHCVS 850
851 PDLCPCRHNGQWYPPNATIQEDCNICVCQGQRWHCTGQRCSGWCQASGAP 900
901 HYVTFDGLVFTFPGACEYLLVREAGGRFSVSVQNLPCGASGLTCTKALVV 950
951 RLDSTVVHMLRGQAVTVNGVSIRLPKVYTGPGLSLHHAGLFLLLTTRLGL 1000
1001 TLLWDGGTRVLVQLSPHFHGRVAGLCGNFDSDASNDLRSRQGVLEPTAEL 1050
1051 TAHSWRLNPLCPEPGDLPHPVNAHRANWARARCEVILQPIFAPCHTEVPP 1100
1101 QQYYEWCVYDACGCDTGGDCECLCSAIATYADECARHRHHVRWRSQELCP 1150
1151 LQCEGGQVYEPCGSTCPPTCHDHHSELRWHCQVITCVEGCFCPEGTLLHG 1200
1201 GACMKLAACPCEWQGSFFPPGTVLQKDCGNCTCQGSQWHCDRGGAPCEDM 1250
1251 EPGCAEGETLCRENGHCVPLEWLCDNQDDCGDGSDEEGCATSVCGEGQMS 1300
1301 CQSGHCLPLSLICDGQDDCGDGTDEQGCLCPHGSLACADGRCLPPALLCN 1350
1351 GHPDCLDAADEESCLGPVSCISGEVSCVDGTCVRTIQLCDGVWDCPDGAD 1400
1401 EGPSHCSLPSLPTPPGGIGQNPSTSSLDTAPSPVGSTSPASPCSLLEFQC 1450
1451 NSGECTPRGWRCDQEEDCTDGSDELDCGGPCMLYQVPCAHSPHCVSPGQL 1500
1501 CDGVTQCPDGSDEDPDVCEEQSASGGANRTGAPCPEFSCPDGTCIDFLLV 1550
1551 CDGNPDCELADETEPSLDEQGCGAWGSWGPWAPCSQTCGSGTRSRNRNCS 1600
1601 TSSLQVLQNCPGLQHQSQACFTEACPVDGEWSSWSPWSPCSEPCGGTTTR 1650
1651 HRQCRPPQNGGQDCALLPGSTHSTRQTSPCPQEGCLNATCFGELVFRTCA 1700
1701 PCPLTCDDISGQAACPPDRPCSSPGCWCPDGKVLNTEGQCVRPRQCPCLV 1750
1751 DGAHYWPGQRIKMDCQLCFLDCGWSSWSPWAECLGPCSSQSLQWSFRSPN 1800
1801 NPRLSGHGRQCRGIHRKARRCQTEACEGCEQWGLMYNVGERWRGGPCMVC 1850
1851 ECLHSSITHCSPYCPIGSCPQGWVLVEGMGESCCHCALPEKNQTVIHMTT 1900
1901 PAPAPASAPSPQIGAHLVTYVLPPTADACYSPLGLAGLPMWAPSQHWEHI 1950
1951 TRADPVEAPMAGPGPREGASAEWHTQPLYLQLDLRRPRNLTGIIVQRAGS 2000
2001 SAAYVSTLSLQFSSDNLQWHNYVNSLSSTLSPPKPSPESSNHMAPEVWTF 2050
2051 DQMVQARYIRVWPHSGHLRDNNQHDIFLWVELLGLSPLAPLCPGSRHRCA 2100
2101 SGECAPKGGPCDGAVDCDDGSDEEGCGSLHASTTSRTPALSPTQPGKFPR 2150
2151 EVSEDLRQGAEAMTSHSPPSSGETAGLIPASEGTLPVSGQPMQTLSATST 2200
2201 FPPGAKSLHPGMAAVTVHPPHSVTPGAPVGQTVSPRPFPPMPCGPGQVPC 2250
2251 DVLGCVEQEQLCDGREDCLDGSDEQHCASAEPFTVPTTALPGLPASKALC 2300
2301 SPSQLRCGSGECLPFEHRCDLQVNCQDGSDEDNCVDCVLAPWSGWSDCSR 2350
2351 SCGLGLIFQHRELLRLPLPGGSCLLDQFRSQSCFVQACPVAGAWAEWGPW 2400
2401 TACSVSCGGGHQSRQRSCVDPPPKNGGAPCPGPSHEKAPCNLQLCPGDTD 2450
2451 CEPGLVHVNAELCQKGLVPPCPPSCLDPEANRSCSGHCMEGCRCPPGLLL 2500
2501 QDSHCLPLSECPCLVGQKLIQPRLAFLLDNCSQCICEKGTLLCKPGACSQ 2550
2551 SCGWSAWSPWTACDRSCGSGVRARFRSPTNPPVAFGGSPCEGDRQELQAC 2600
2601 YTDCGTEIPGWTPWTSWSSCSQSCLVPGGDPGWRQRSRLCPSSRDTFCPG 2650
2651 EATQEEPCSPPVCPVPSAWGLWASWSTCSASCNGGIQTRGRSCSGSAPGN 2700
2701 PVCLGPHTQTRDCNMHPCTAQCPGNMVFRSAEQCLEEGGPCPQLCLAQDP 2750
2751 GVECTGSCAPSCNCPPGLFLHNASCLPRSQCPCQLHGQLYAPGAVAHLDC 2800
2801 NNCTCISGEMVCTSKRCPVACGWSPWTPWSPCSQSCNVGIRRRFRAGTEP 2850
2851 PAAFGGAECQGPNLDAEFCSLRPCRGPGAAWSSWTPCSVPCGGGYRNRTQ 2900
2901 GSGPHSPIEFSTCSLQPCAGPVPGVCPEDQQWLDCAQGPASCAHLSIPGE 2950
2951 ANQTCHPGCYCLSGMLLLNNVCVPVQDCPCAHRGRLYSPGSAVHLPCENC 3000
3001 SCISGLITNCSSWPCEEGQPAWSSWTPWSVCSASCNPARRHRHRFCARPP 3050
3051 HRAPFSLVLLTTVAAPTTLCPGPEAEEEPCLLPGCNQAGGWSPWSPWSGC 3100
3101 SRSCGGGLRSRTRACDQPSPQGLGDFCEGPQAQGEACQAQPCPVTNCSAM 3150
3151 EGAEYSPCGPPCPRSCDDLVHCVWRCQPGCYCPLGKVLSADGAICVKPSY 3200
3201 CSCLDLLTGKRHHAGTQLMRPDGCNHCTCMEGRLNCTDLPCQVSGDWCPW 3250
3251 SKWTACSQPCRGQTRTRSRACVCPAPQHGGSPCPEESGGTGVQHQMEACP 3300
3301 NATACPVDGAWSPWGPWSSCDACLGQSYRSRVCSHPPISDGGKPCLGGYQ 3350
3351 QSRPCRNSSTLCTDCGGGQDLLPCGQPCPHSCQDLSLGSTCQPGSAGCQS 3400
3401 GCGCPPGQLSQDGLCVFPVDCHCHFQPRAMGIPENRSRSVGSTLSSWESL 3450
3451 EPGEVVTGPCDNCTCVAGILQCHEVPSCPGPGIWSSWGPWEKCSVSCGGG 3500
3501 EQLRSRQCARPPCPGLAQQSRICHIHVCRETGCPAGRLYRECQPSDGCPF 3550
3551 SCAHVTGQVACFSERCKEGCHCPEGTFQHHVACVQECPCVLTVLLLQELG 3600
3601 LASAALGSYPTLLGDEGKPLGPGVELLPGQMLQTDCGNCSCVHGKLSCSM 3650
3651 VECSRVHGSFGPWGMWSLCSRSCGGLGTRTRTRQCVLPTLAPGGLSCRGP 3700
3701 LQDLEYCFSPECPGTAGSTVEPVTGLAGGWGPWSPWSPCSHSCTDPAHPA 3750
3751 WRSRTRLCLANCTVGDSSQERPCNLPSCAALLPCPGPGCGSGNCFWTSWA 3800
3801 PWEPCSRSCGVGQQRRLRAYHPPGPGGHWCPDILTAYQERRFCNLRACPV 3850
3851 PGGWSHWSPWSWCDRSCGGGRSLRSRSCSSPPPKNGGTSCVGERHHVRPC 3900
3901 NPMPCEEGCPAGMEMVSCANHCPYSCSDLQEGGMCQEDQACQLGCRCSEG 3950
3951 FLEQDGGCVPVGHCECTDAQGRSWAPGSQHQDACNNCSCQAGQLSCTAQL 4000
4001 CSPPAHCAWSHWSAWSSCSHSCGPQGQQSRFRSSTSGSWALECQKEQSQS 4050
4051 QPCPEVPCPPLCLHEAHLHELGDNWLHGECQQCSCTPEGAICKDTDCAVP 4100
4101 RGWTLWSSWSYCSVSCGGGSQVRTRSCTVSAPPHGSLSCEGPDTQTRHCG 4150
4151 QQLCLQKLERCSWGPWGPCSRSCGTGLASRSGSCPCLLTKEDSKCNDTFL 4200
4201 GLDTQACYSGPCQDDCTWGDWSSWTRCSCKVLVQQRYRHQVPAPGQAGEG 4250
4251 TPCTRLDGHFRPCTIGNCSEDSCPPPFEFQSCGSPCAGLCATHLNHRLCQ 4300
4301 DLPPCQPGCYCPKGLLEQAGSCILPEQCNCWHISGEGARVTLAPGDRLQL 4350
4351 GCKECVCRRGELQCSSQGCEGLLPLTGWSEWSPCGPCLPQSALAPASRTA 4400
4401 LEGHWPLNTSDLPPPSVTLLASEQYRHRLCLDPETRRPWAGDPALCTVPL 4450
4451 SQQRLCPDPGACNDTCQWGPWGPWSPCQMPCSGGFKLRWRVARDTSAGEC 4500
4501 PGPWAQTESCNMGSCPGESCETRDTVFTLDCANQCPRSCADLWDGVQCLQ 4550
4551 GPCSPGCRCPPGQLVQDGHCVPISSCRCGLPSANASWELAPTQVVQLDCH 4600
4601 NCTCINGTLMCPHLECPVLGPWSAWSECSAVCGKGTMVRHRSCEEHPDRE 4650
4651 PCQALDLQQWQECNLQACPECPPGQVLSTCATMCPSLCSHLWPGTICVRE 4700
4701 PCQLGCGCPGGQLLYNGTCIPPEACPCTQFSLPWGLTLPLEEQARELPSG 4750
4751 TVLTRNCTHCTCQGGAFICSLTDCQECAPGEIWQHGKLGPCEKTCPEMNM 4800
4801 TQAWSNCTEAQAPGCVCQLGYFRSQTGLCVPEDHCECWHHGSPHLPGSEW 4850
4851 QEACESCRCLHGKSVCIRHCPELSCAQGEVIMQEPGSCCPICQQDTLKEE 4900
4901 PVSCRYLTELRNLTKGPCHLDQIEVSYCSGHCRSSTNVMTEEPYLQSQCD 4950
4951 CCSYRLDPDSPVRILNLLCPDGHTEPVVLPVIHSCQCSACQGGDFSKH 4998
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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