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Related Experiment Videos

N-terminal methylation of proteins: structure, function and specificity.

A Stock, S Clarke, C Clarke

    FEBS Letters
    |August 10, 1987
    PubMed
    Summary

    Protein N-terminal methylation is a key posttranslational modification. This study proposes a limited number of methylating enzymes responsible for this process in bacteria and eukaryotes, aiding in prediction.

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    Area of Science:

    • Biochemistry
    • Molecular Biology
    • Proteomics

    Background:

    • Posttranslational modifications (PTMs) are crucial for protein function and regulation.
    • N-terminal alpha-amino group methylation is a PTM observed in various proteins involved in large macromolecular structures.
    • Understanding the enzymes and recognition sites for N-terminal methylation is essential for deciphering protein function.

    Purpose of the Study:

    • To investigate the enzymatic mechanisms of N-terminal protein methylation.
    • To identify potential methylating enzymes and their substrate recognition sites.
    • To propose a model for N-terminal methylation in bacteria and eukaryotes.

    Main Methods:

    • Bioinformatic analysis of known methylated proteins.
    • Comparative sequence analysis of N-terminal regions.

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  • Hypothetical enzyme identification based on sequence motifs.

    • Main Results:

    • Methylated proteins, despite diverse functions, are often components of large cellular structures.
    • Specific N-terminal sequences likely act as recognition sites for methylating enzymes.
    • Three hypothetical enzymes (MAK, QP, pilin methyltransferases) may account for bacterial N-terminal methylation.
    • One hypothetical enzyme (PK methyltransferase) may account for eukaryotic N-terminal alpha-amino methylation.

    Conclusions:

    • A conserved set of methylating enzymes likely governs N-terminal protein methylation across different organisms.
    • Structural features at protein N-termini are key determinants for substrate recognition by methyltransferases.
    • Criteria for predicting methylation-susceptible proteins based on primary sequence data can be developed.