| Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching P34545 from www.uniprot.org...
The NucPred score for your sequence is 0.95 (see score help below)
1 MDEPPSKKSRADSDYDSGLDALSALESLEAFPTSSKDTDVDNNPSTSAGG 50
51 SGGPSGSTPHPQGTPQPAPSNNGGFNLQPGQSQPQQPPQNMGGGVNGSVL 100
101 QELLMNPSQTSNNSPRPQAYPPGQQNAFNRSPMMPNGTPNMMSPPSMGRV 150
151 PGPSPGGPQPPGPGQPQMRPGQPGMFQGDQQQQMMMGAQGQQFPGMMHRY 200
201 PYAQGGPPPGAQGMPQGYPGVSRGGPTPGQPMGRGAMMNGAMPRSGPMPT 250
251 QGRPGIPPNQQAMMQPMMTDRQFMQHGQYGQQRPEFMQQYGRPGGYPMMH 300
301 QGMMMDSNGQPIRGPNQMMMMSNGHPGMSHGPPNGQPGPQAAAAQHAAQQ 350
351 QAAAQAQAQAAAQQQQQQQREQEAAAAAQRNGAGRATTPGSSMLATHQDP 400
401 EKRKLIQQQLVLLLHAHKCSQREKENRDFAAKNQPPPHAACTLPHCSTMK 450
451 EVLTHMTSCNVGRLCHSDTTQTTKKCSVAHCASSRQIIAHWKNCSREDCP 500
501 VCKPLKRIQDTPLQFSLPDLANLIGVNGNSNGSAEGDGLHQFGSPAMRTG 550
551 NITNSLFEGFNGNPFQNGPNRGGPRPPGGNGEIPNLPPPDMPDCTKEWHH 600
601 QVTKDLRNHLVGKLVKAIFPEPNQEAMNDNRLKDLIAYARKVEKEMFESA 650
651 NDREEYYHLLAEKIYKIQKELQEKKNSRLNQGAAAHDQYAIPPSNELAQM 700
701 LGVEGGRSDVHSEGSSMAVAPSQQNQPWGGAPNSNMHQQIPPNGQVPQVN 750
751 NSSTFPSSGNSTPNIGASSTVSAMLQPKTEPMDDQNTDSLSSRPPTAIGF 800
801 GGSSSSTPAPIMNGIVKKEEDPEESSNQAPPSVKDTKDGVAESKPKEQQA 850
851 KREPTPPPTEDTVFSQEDLIKFLLPVWEKLDKSEDAAPFRVPVDAKLLNI 900
901 PDYHEIIKRPMDLETVHKKLYAGQYQNAGQFCDDIWLMLDNAWLYNRKNS 950
951 KVYKYGLKLSEMFVSEMDPVMKSMGYCCAKKLAFTPLSLFCYGAAMCTIA 1000
1001 REQQYWVFEQSSTQYNVTVTERYTYCQKCFDALPPEGISLSENPNDRNNM 1050
1051 APKTSFTEQKNSVIDYEPFERCKYCMRKWHRICALHDKKVYPEGFICECC 1100
1101 RTAKKYQKPDNKYLASKLPHNKLSTFLEDRVNGFIKKQLQAEAHKYPVII 1150
1151 RTLCVQDKEAEVKAQMKQKYVESNQFPEKFPYRTKAVFAFEIIDGVEVCF 1200
1201 FGLHVQEYGSACPAPNARRVYIAYLDSVHFFQPRELRTDVYHELLLGYLD 1250
1251 YAKMLGYTMAHIWACPPSEGDDYIFHCHPPEQKIPKPKRLQDWYKKMLEK 1300
1301 GVQEGSVVEFKDIYKQARDDNLTTPTQLPYFEGDFWPNVIEDCIREASNE 1350
1351 EAQRKVKEDDDDGEDADGGLGGGDSGKKKSSKNKKNNLKKNAKMNKKKAG 1400
1401 SITGNEVADKLYSQFEKHKEVFFTIRLVSLQNEPAVLAKPISDPDGLMQS 1450
1451 DMMDGRDTFLTKAREEHWEFSSLRRAKYSTLCLAYSLHETDSKGMEYTCN 1500
1501 KCSSPAVWHCQSCDDFDLCDGCKPTTQHPHEMEKIKSLIGGGEAGDSAAG 1550
1551 GTRYESIQRCIASLVHACQCRDANCRRMSCHKMKRVVQHTKMCKKRINGT 1600
1601 CPVCKQLIALCCYHAKHCTRDACTVPFCMNIRQKLAEQKRSQQRRADMMM 1650
1651 RRRMEGLQSHVGGAAPTPSTVSNGTPSNAPTPPVSAGPGPAVKGGGVGQV 1700
1701 QMQQHQGSHVGGSGPAGMGQPMNSFGGMPGMGLGPNAQNGPGLPGMNPQM 1750
1751 NANQSRYMPNGPGLGQSGAPGQQQQPMYSSGMPMQRPGGLGGMNPQQQPQ 1800
1801 QQQGHPGLQNPGGRPGGVHGMGQNQPVRNNQDMVMNMQMQNQHQQPPPFD 1850
1851 STLQPQIMKINSRLKAAKTEEERETVFSDLKKTPHLFHAWLRMRENQNLV 1900
1901 PNRMQGYSQMSMGSSNLQNLQQQQLQQQQAGAMRGGGGFAPGQNNSQPRA 1950
1951 PSGQFASMNPSMQQQYPQQQQGWPQQRQQNPGGMQQNANPYNQFQNRQNM 2000
2001 MMMPQQQQPHPSNAGGQ 2017
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.) |
Go back to the NucPred Home Page.