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Molecular evolution as a process of message refinement.

T A Reichert, J M Yu, R A Christensen

    Journal of Molecular Evolution
    |June 23, 1976
    PubMed
    Summary
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    This study treats protein sequences as messages, applying signal analysis techniques. This approach reveals clearer, less noisy sequences, suggesting a hierarchical organization in biological structures.

    Area of Science:

    • Biochemistry
    • Bioinformatics
    • Systems Biology

    Background:

    • Amino acid sequences are conventionally understood to encode proteins.
    • The inherent complexity of biological sequences presents challenges for analysis.

    Purpose of the Study:

    • To propose a novel methodology for analyzing protein sequences.
    • To explore the application of signal analysis techniques to amino acid sequences.
    • To investigate the potential for increased clarity and reduced noise in protein sequence representation.

    Main Methods:

    • Conceptualizing protein sequences as messages.
    • Applying signal analysis methodologies to these sequences.
    • Evaluating sequence clarity and noise levels.

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    Main Results:

    • The proposed methodology of treating protein sequences as messages is tenable.
    • Applying signal analysis techniques enhances the clarity of amino acid sequences.
    • A decrease in sequence noise was observed, correlating with increased clarity.

    Conclusions:

    • Protein sequences can be effectively analyzed as messages using signal analysis.
    • This approach offers a new perspective on understanding biological sequence information.
    • The findings support a hierarchical organization within morphological taxonomy based on sequence clarity.