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Quantitative Methods to Study Protein Arginine Methyltransferase 1-9 Activity in Cells
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PRmePRed: A protein arginine methylation prediction tool
Pawan Kumar1, Joseph Joy1, Ashutosh Pandey1
1Translational Bioinformatics Group, ICGEB, New Delhi, India.
Plos One
|August 17, 2017
Summary
Researchers developed PRmePRed, a new tool to predict arginine methylation sites in proteins. This computational method improves upon existing tools for identifying these important post-translational modifications, aiding biological research.
Area of Science:
- Biochemistry
- Molecular Biology
- Bioinformatics
Background:
- Protein methylation, a key post-translational modification (PTM), regulates critical biological processes like gene regulation and signal transduction.
- Arginine methylation plays a significant role in these regulatory functions.
- Experimental identification of arginine methylation sites is challenging due to high costs and time requirements.
Purpose of the Study:
- To address the limitations of existing prediction tools for arginine methylation sites.
- To develop a more accurate and reliable computational tool for identifying arginine methylation sites.
- To facilitate rapid screening of potential methylation sites within proteomes.
Main Methods:
- Comprehensive data analysis of features relevant to arginine methylation.
- Development and validation of a novel prediction tool named PRmePRed.
- Performance evaluation using 10-fold cross-validation.
Main Results:
- PRmePRed achieved a high accuracy of 84.10%.
- The tool demonstrated good performance with 82.38% sensitivity and 83.77% specificity.
- A Matthew's correlation coefficient of 66.20% was obtained, indicating robust predictive power.
Conclusions:
- PRmePRed offers a significant improvement over existing methods for predicting arginine methylation sites.
- The tool provides a valuable resource for researchers studying protein methylation.
- PRmePRed is freely accessible for use in biological research.
