:: DESCRIPTION
NLStradamus predicts NLSs in nuclear proteins that are transported by the import machinery of the cell.
::DEVELOPER
Alan Moses’ Computational Biology Lab
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Bioinformatics. 2009 Jun 29;10:202. doi: 10.1186/1471-2105-10-202.
NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction.
Nguyen Ba AN1, Pogoutse A, Provart N, Moses AM.
:: DESCRIPTION
SeqNLS is a sequential pattern mining algorithmto effectively identify potential NLS patterns without being constrained by the limitation of current knowledge of NLSs.
::DEVELOPER
Machine Learning and Evolution Laboratory (MLEG)
:: SCREENSHOTS
n/a
:: REQUIREMENTS
:: MORE INFORMATION
Citation:
PLoS One. 2013 Oct 29;8(10):e76864. doi: 10.1371/journal.pone.0076864. eCollection 2013.
SeqNLS: nuclear localization signal prediction based on frequent pattern mining and linear motif scoring.
Lin JR1, Hu J.
:: DESCRIPTION
NucPred (pronounced newk-pred) analyses a eukaryotic protein sequence and predicts if the protein: spends at least some time in the nucleus or spends no time in the nucleus. Don’t forget that proteins can have multiple functions and/or multiple subcellular locations. However, if a protein is already known to be secreted or is an integral membrane protein, a second role as a nuclear protein is not likely. NucPred will make a small number of confident but contradictory predictions like this. So please use all sources of biological information (both real and predicted) when interpreting the results.
::DEVELOPER
Stockholm Bioinformatics Center
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
The source code to NucPred is freely available to all under the GNU Public License (GPL)
Citation:
NucPred – Predicting Nuclear Localization of Proteins. Brameier M, Krings A, Maccallum RM. Bioinformatics, 2007. PubMed id: 17332022
