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Sequence databases and homology searching using the World Wide Web

M Paterson1

  • 1Department of Medicine, St. Mary's Hospital Medical School, Imperial College, London, UK m.paterson@sm.ic.ac.uk

Molecular Medicine Today
|March 1, 1996
PubMed
Summary
This summary is machine-generated.

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Scientists can access vast RNA, DNA, and protein sequence data online. This resource aids in predicting the function and structure of new proteins through homology comparisons.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • Scientific research generates large volumes of RNA, DNA, and protein sequence data.
  • Traditionally, sequence data was compiled from published literature.
  • Direct deposition of sequence data by researchers is now possible.

Purpose of the Study:

  • To highlight the availability and accessibility of public sequence databases.
  • To emphasize the utility of these databases for scientific discovery.
  • To explain how sequence data aids in predicting protein function and structure.

Main Methods:

  • Utilizing the Internet for global access to sequence databases.
  • Researchers depositing novel sequence data directly via the World Wide Web.

Related Experiment Videos

  • Comparing new sequence data with existing entries and structural data.

    • Main Results:

    • Over 600,000 nucleotide sequences and nearly 50,000 protein sequences are publicly available.
    • These databases represent a significant and growing scientific resource.
    • Homology analysis enables prediction of function and 3D structure for novel proteins.

    Conclusions:

    • Public sequence databases are invaluable resources for biological research.
    • Direct data deposition accelerates the growth and utility of these databases.
    • Sequence and structural homology comparisons are powerful tools for functional and structural prediction.