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Related Experiment Videos

The quest to deduce protein function from sequence: the role of pattern databases.

T K Attwood1

  • 1School of Biological Sciences, The University of Manchester, UK.

The International Journal of Biochemistry & Cell Biology
|February 25, 2000
PubMed
Summary
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Bioinformatics tools are essential for analyzing vast sequence data from genome projects. This review details protein sequence pattern databases, aiding drug discovery and target identification by organizing biological information.

Area of Science:

  • Bioinformatics and computational biology
  • Genomics and proteomics
  • Drug discovery and pharmaceutical research

Background:

  • The rapid generation of biological sequence data necessitates efficient bioinformatics tools.
  • Existing databases and search methods present challenges in data management and analysis.
  • Accurate functional characterization of novel sequences is crucial for research and development.

Purpose of the Study:

  • To review the current status of major protein sequence pattern databases.
  • To clarify the distinctions between pattern and alignment databases.
  • To highlight efforts in database integration for improved sequence analysis.

Main Methods:

  • Definition of key bioinformatics terms and database methodologies.

Related Experiment Videos

  • Discussion of the structure and content of principal pattern databases.
  • Brief mention of alignment databases and their differences from pattern databases.

    • Main Results:

    • Overview of commonly used protein sequence pattern databases.
    • Explanation of database structures, content, and search methods.
    • Identification of potential errors in databases and the need for reliable tools.

    Conclusions:

    • Protein sequence pattern databases are vital for functional characterization and drug target discovery.
    • Database integration efforts aim to streamline sequence analysis and reduce search complexity.
    • Improved bioinformatics resources are essential for advancing biological insight from genomic data.