Nguyen Ba AN, Pogoutse A, Provart N, Moses AM. NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics. 2009 Jun 29;10(1):202.
The pubmed entry for this paper is found here.
- Program may resolve in an error if a large .fasta file is sent for prediction when images or graphics are desired. Please only use the table display when using large predictions. (>100 sequences)
- A standalone of the program is available here.
- Notice: NLStradamus is not a predictor of nuclear proteins; although better than random, it is a very poor classifier of nuclear proteins. Comparative approaches should be used for this problem. NLStradamus predicts NLSs in nuclear proteins that are transported by the import machinery of the cell.
- Click here for general help.
Prediction Request
HMM state emission and transition frequencies.
| Pre-loaded models |
Those are the models based on our characterized sequences. 
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Prediction Type
| Viterbi | ||
| Posterior |
Prediction Cutoff (]0,1])
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Prediction Display
| Table | A table that you can export with the start and stop positions of predicted NLS. | |
| Image | An image with the NLS boxed over a line representing the protein sequence. | |
| Graphic | Only applicable to posterior probability. A graphical representation of its distribution. |
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Revision r.9 - Last Updated on :
March 25 2020 21:27:10.
alex.nguyenba@utoronto.ca
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| Intended to be used with Firefox |