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Linguistic approaches to biological sequences

D B Searls1

  • 1SmithKline Beecham Pharmaceuticals, King of Prussia, PA 19406, USA.

Computer Applications in the Biosciences : CABIOS
|August 1, 1997
PubMed
Summary
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Computational linguistics offers powerful tools for analyzing biological sequences. This review explores applying computational linguistics methods to genetic text and protein sequences in molecular biology research.

Area of Science:

  • Molecular Biology
  • Computational Linguistics
  • Bioinformatics

Background:

  • Biological processes involving nucleic acids and proteins are often described using linguistic metaphors.
  • The genetic 'text' and its sequential transliterations are naturally viewed through a linguistic lens.
  • The utility of linguistic analysis techniques for biological problems remains an important question.

Purpose of the Study:

  • To investigate the applicability of computational linguistics methods to biological sequences.
  • To review the author's and others' work in this interdisciplinary field.
  • To determine if techniques from human and computer language analysis can solve molecular biology problems.

Main Methods:

  • Application of computational linguistics techniques.

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  • Analysis of biological sequences (nucleic acid and protein).
  • Review of existing research and methodologies.

    • Main Results:

    • Demonstrated the potential of computational linguistics for biological sequence analysis.
    • Highlighted successful applications of linguistic methods to genetic and protein data.
    • Provided a review of interdisciplinary research efforts.

    Conclusions:

    • Computational linguistics provides valuable tools for understanding biological sequences.
    • The metaphor of genetic 'text' can be practically applied using computational linguistic methods.
    • Further integration of computational linguistics is beneficial for molecular biology.