It's a simple analysis of protein subcellular prediction tool " PROlocalizer"

1. PROlocalizer:Protein Subcellular
Localization Prediction Tool
Prepared By Maria Akther
Concordia University

2. Objectives
• Protein Subcellular Localization Prediction
• Methods/Tools
• PROlocalizer
• System Environment
• Benefits and Limitations

3. Protein Subcellular Localization
Prediction
The computational prediction of where a
protein resides in cell.

4. Methods/Tools
• CELLO, PSORT, LOCtree, BaCello, PredictNLS, TargetP,
SignalP, Prolocalizer etc.

5. PROlocalizer
• Introduced by Kirsti Laurila and Mauno Vihinen.
• Integrated web service for protein subcellular
localization prediction
• Integrates 11 individual methods
• Can predict 12 localizations for animal proteins.
• Mainly based on binary classifiers.

6. Tools Used
• Script: Java,Perl
• Integrated Programs: TargetP, SignalP, TMHMM server, BigPI,
NMT, PeroxiP, PredictNLS, PTSI, Golgipredictor, Phobius, Prosite.
• Based on the state-of –the-art binary predictors that work as the
Scandinavian protocol that has automated the use, submission
and interpretation of results.

7. Predicted Location
• 12 localizations are-mitochondrial
inner membrane; mitochondrial
periplasmic space; mitochondrial matrix; golgi;
plasma membrane; secreted; peroxisome; ER lumen;
cytoplasmic; nucleus; plasma membrane,GPI anchor;
plasma membrane,myristoylated;

8. Flow Chart

9. System Environment(1)

10. System Environment(2)

11. Benefits
• Freely accessible for academic.
• Has a user friendly graphic interface.
• It can also be used to analyze the mutation effects on
protein.

12. Limitations
• The length of a single protein sequence can’t be
longer than 4000 amino acids.
• If any of the servers running outside the system is
down, the analysis can’t be performed.

13. Future Objectives
• To extend the system to allow predictions for
plants, fungi and bacteria.

14. Thank You!