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Protein Modifications in the RER

Protein Modifications in the RER

Modification of secretory and transmembrane proteins entering the rough ER begins in the ER lumen. These modifications aid in protein folding and stabilize the acquired tertiary structure. Protein modifications in the rough ER co-occur at different stages of protein folding.
Broadly, these modifications can be categorized into four main categories — glycosylation, formation of disulfide bonds, assembly of protein subunits, and specific proteolytic cleavages like removal of signal sequences.

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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

MAPRes: an efficient method to analyze protein sequence around post-translational modification sites.

Ishtiaq Ahmad¹, Daniel C Hoessli, Wajahat M Qazi

¹Institute of Molecular Sciences and Bioinformatics, Lahore, Pakistan.

Journal of Cellular Biochemistry

|February 21, 2008

Summary

This study introduces MAPRes, a novel in silico method for analyzing protein post-translational modifications. It mines association patterns between modification sites and neighboring amino acids, aiding in predicting protein functions and switches.

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Area of Science:

Biochemistry and Bioinformatics
Computational Biology
Molecular Biology

Background:

Dynamic protein modifications regulate functional switches, posing challenges for in vivo assessment.
In silico methodologies offer a promising alternative for predicting protein multifunctionality and transient modifications.

Purpose of the Study:

To develop and apply a novel algorithm, MAPRes, for mining association patterns in protein post-translational modification data.
To analyze sequence environments surrounding phosphorylation and glycosylation sites.

Main Methods:

Utilized Phospho.ELM (v3.0) and OGlycBase (v6.0) databases for phosphorylation and glycosylation data.
Developed and applied the MAPRes (Mining Association Patterns among preferred amino acid residues) algorithm.
Employed association pattern/rule mining to identify relationships between modification sites and neighboring amino acids.

Main Results:

The MAPRes algorithm successfully identified significant association patterns in post-translational modification (PTM) data.
Established conformity between MAPRes findings and results from other analytical approaches.
Limited data availability hindered the analysis of Tyr kinase phosphorylation sites and O-GlcNAc modification.

Conclusions:

The MAPRes algorithm represents a valid and novel approach for associating PTM sites with vicinal amino acids.
This method is the first to apply association pattern mining to protein PTM data, offering potential for broader applications.
Further research is needed to overcome data limitations for specific modification types.