 | Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden. |
NucPred
Fetching Q8S3U9 from www.uniprot.org...
The NucPred score for your sequence is 0.72 (see score help below)
1 MSSDSNDLDEDELLQMALKEQAKRDLTYQKPPSSSARKPVANLVQQPRQQ 50
51 KPVAAAAAPPKKSAAAVRKPSMDEDEESEVELLSISSGDDDLEREREIGG 100
101 SSGGAGRGRGSDVREKGRARKEDDGAWDGGEPDCWKRVNEAELARRVRDM 150
151 RESRTAPVVQKVEGKAPAPGKKVALTSLQSLPRGMECIDPLKLGIIDNKT 200
201 LRLITESSGSPSKAEKVDNTLREKLVYFSDHFDPKLFLSRIHQDTTAADL 250
251 EAGALGLKSDLKGRNLQRKQLVKDNFDCFVSCKTTIDDIESKLKRIEEDP 300
301 EGSGTTHLFNCMKSVTSRANLAFEPLFERQAQAEKIRSVQGMLQRFRTLF 350
351 NLPSIIRSSISKGEYDLAVREYKKAKSIALPSHVNILKRVLEEVEKVMLE 400
401 FKGTLYKSMEDPKIDFTSLENTVRLLLELEPESDPVWHYLNVQNHRIHGL 450
451 LEKCTYDHEARVEILRNDTHEKAISDAKWQQIQQNGVSYSDTASSNENNA 500
501 VQVDLQSVEFPSEEIDILKGRYIKRLTAVLVHHIPVFWKTAISIFSGKFA 550
551 KSSQVTDTSANKAEEKVTEARYSTHSLEEVAGMIRKTISVYEAKVNSTFC 600
601 DFDESCILRPFMSDAINEVSKACQAFEAKESTPHSAVVALRKIQAEITKI 650
651 YIQRLCSWMRASTEGISKEETWIPVSILERNRSPYAISYLPLAFRSVIVS 700
701 GMEQVNLMILSVKSEAAKSEDMFAQIEEIIISVRLAFLNCFLDFAAHLEQ 750
751 IGADLSQSTSRQDNWKNGYSDEHQEEPSANTYGSVIDPHRRLLMVLSNIG 800
801 YCKDELASELYNKFKYTWLQSRDKNEDSSDLQDLIMSFSGLGEKVLEHYT 850
851 FAKANLIRTAATNYLLDSGIQWGSAPQVKGIRDAAVELLHTLVAVHAEVF 900
901 AGAKPLLDKILGVLIEGLIDTFLSVVEENRSSDLRSIDANGFCQLMFELE 950
951 YFETVLYSYFTSAATESLKSLQGTVLEIAIESISEAVETPGHNRRPTRGS 1000
1001 EDTVSDDKQSVSADDLLALTKQCSNELLQQELERTRVNTACFAESAPLES 1050
1051 TPPLPKATYSSFRGSMDSPSRNYRGSQSSGSPINARPRRR 1090
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.