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Scoring and identifying organism-specific functional patterns and putative phosphorylation sites in protein sequences
Wolfram Weckwerth1, Joachim Selbig
1Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, Golm 14476, Germany. weckwerth@mpimp-mpg.de
Biochemical and Biophysical Research Communications
|August 2, 2003
Summary
This study identifies key amino acid sites in protein kinases using mutual information (MI). The findings help group kinases by organism, aiding in the analysis of phosphorylation sites specific to their origin.
Area of Science:
- Biochemistry
- Bioinformatics
- Structural Biology
Background:
- Protein kinases are crucial enzymes involved in cellular signaling.
- Understanding evolutionary conservation and divergence in protein kinases is vital for functional and structural insights.
- Amino acid co-variance analysis can reveal functionally important residues.
Purpose of the Study:
- To identify characteristic amino acid sites in protein kinases that distinguish between different organisms (mammals, plants, bacteria).
- To investigate the relationship between surface accessibility in 3D structures and mutual information content of these sites.
- To develop a scoring method for predicted phosphorylation sites within the conserved catalytic region of protein kinases.
Main Methods:
- Multiple sequence alignment of 294 protein kinases from diverse organisms.
- Application of mutual information (MI) to quantify co-variance between amino acid positions.
- Analysis of the correlation between site surface accessibility in 3D structures and MI values.
- Development and application of a scoring method for predicted phosphorylation sites.
Main Results:
- Identification of specific amino acid sites that significantly discriminate between mammalian, plant, and bacterial protein kinases.
- A correlation was observed between the surface accessibility of identified sites and their MI content.
- A novel scoring method was developed to evaluate predicted phosphorylation sites.
- Mammalian and plant protein kinases were successfully grouped together, distinct from bacterial kinases, based on the developed scoring method.
Conclusions:
- Mutual information analysis is effective in identifying organism-specific amino acid sites in protein kinases.
- The developed scoring method provides insights into the organism-specific origin of putative phosphorylation sites.
- This approach facilitates the analysis of phosphorylation site function within their evolutionary context.