SBC logo Authors: Amine Heddad, Andrea Krings, Markus Brameier and Bob MacCallum, Stockholm Bioinformatics Center, Stockholm University, Sweden.

NucPred

Fetching Q767I8 from www.uniprot.org...

The NucPred score for your sequence is 0.28 (see score help below)

   1  MEFSWGSGQESQRLLLSFLFLAIWEPGNSQLHYSIPEEAKHGTFVGRIAQ    50
  51  DLGLELAELVPRLFRVASKDRGDLLEVNLQNGILFVNSRIDREELCGRSA   100
 101  ECSIHLEVIVDRPLQVFHVEVEVRDINDNPPTFPTTQKNLFIAESRPLDT   150
 151  WFPLEGASDSDIGINAVLTYRLSPNDYFSLEKPTNSERVKGLGLILRKSL   200
 201  DREETPELFLVLTVTDGGKPELTGSVQLLITVLDANDNSPVFDRSLYTVK   250
 251  LPENVPNGTLVVKVNASDLDEGANGEVMYSFSTDISPNVKNKFHIDPVTG   300
 301  EIAVKGYIDFEECTSYEILIEGIDKGQLPLSGHCKVIVQVEDINDNAPEL   350
 351  EFKSLSLPIRENAPVGTVIALISVFDPDTGVNGQVTCSLTPQVPFKLVST   400
 401  FKNYYSLVLDSALDRETTADYKVVVIARDGGLPSLWATASVSVEVADVND   450
 451  NAPAFAQPEYTVFVKENNPPGAHIFTVSAVDADSQENALVSYSLVERRVG   500
 501  ERLLSSYVSVHAESGKVFALQPLDHEELELLQFQVSARDAGVPALGSNVT   550
 551  LQVFVLDENDNAPTLLEPEAGISGGIVSRLVSRSVGAGHVVAKVRAVDAD   600
 601  SGYNAWLSYELQSSEGNSRSLFRVGLYTGEISTTRSLDEADSPRQRLLVL   650
 651  VKDHGDPAMMVTATVLVSLVENGPLPKAPSRVSTRVTNAEASLVDVNVYL   700
 701  IIAICAVSSLLVLTLLLYSALRCSTVPSESVCGPPKPVMVCSSAVGSWSY   750
 751  SQQRRQRVCSGEYPPKTDLMAFSPSLSDSRDREDQLQSTEDSSGKPRQPN   800
 801  PDWRYSASLRAGMHSSVHLEEAGILRAGPGGPDQQWPTVSSATPEPEAGE   850
 851  VSPPVGAGVNSNSWTFKYGPGNPKQPGPGELPDKFIIPGSPAIISIRQES   900
 901  ANNQIDKSDFITFGKKEETKKKKKKKKGNKTQEKKEKGNSTTDNSDQ      947

Positively and negatively influencing subsequences are coloured according to the following scale:

(non-nuclear) negative ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| positive (nuclear)

with NucPred



If you find NucPred useful, please cite this paper:
NucPred - Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
The authors also look forward to your comments and suggestions.

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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