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Nuclear Localization Signal Prediction

This tool is a simple Hidden Markov Model for nuclear localization signal prediction. It is able to consistently find 37% of the NLSs with a low false positive rate.

1. Input protein sequence:

Full Length:0

Posterior threshold [0-1]:

Pre-loaded models



Nuclear localization sequence

Nuclear localization signals (NLSs) are stretches of residues within a protein that are important for the regulated nuclear import of the protein. Of the many import pathways that exist in yeast, the best characterized is termed the 'classical' NLS pathway. The classical NLS contains specific patterns of basic residues and computational methods have been designed to predict the location of these motifs on proteins.

Reference

  • Nguyen Ba AN, Pogoutse A, Provart N, Moses AM. NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics. 2009;10:202. Published 2009 Jun 29. doi:10.1186/1471-2105-10-202