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Related Experiment Videos

Genomics and computational molecular biology.

D L Brutlag1

  • 1Department of Biochemistry, Beckman Center, B400 Stanford University, Stanford, California 94305-5307, USA. brutlag@stanford.edu

Current Opinion in Microbiology
|March 6, 1999
PubMed
Summary

The rapid sequencing of bacterial genomes enables advanced computational analysis. This facilitates understanding bacterial growth, pathogenicity, and host interactions through gene function identification and drug discovery.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • The past two years have seen a significant increase in completely sequenced bacterial genomes.
  • This surge is driven by public genome agencies and the pharmaceutical industry.
  • Sequenced genomes allow for more systematic analysis of genes, evolution, and genome function.

Purpose of the Study:

  • To highlight the utility of computational methods in analyzing bacterial genomes.
  • To demonstrate how these methods aid in understanding bacterial biology and disease.
  • To identify potential applications in diagnostics and therapeutics.

Main Methods:

  • Utilizing computational approaches such as statistics, sequence similarity, motifs, profiles, protein folds, and probabilistic models.

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  • Applying these methods to analyze sequenced bacterial genomes.
  • Focusing on gene identification and functional assignment.

    • Main Results:

    • Development of characteristic genome signatures.
    • Assignment of functions to identified genes.
    • Identification of pathogenic genes and metabolic pathways.
    • Discovery of potential drug-binding sites and development of diagnostic probes.

    Conclusions:

    • Computational analysis of bacterial genomes is crucial for understanding bacterial growth and pathogenicity.
    • These methods are essential for unraveling host-pathogen interactions.
    • The findings support the development of novel diagnostics and therapeutics.