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The ENZYME data bank

A Bairoch1

  • 1Department of Medical Biochemistry, University of Geneva, Switzerland.

Nucleic Acids Research
|September 1, 1994
PubMed
Summary
This summary is machine-generated.

The ENZYME database provides comprehensive enzyme nomenclature information, including EC numbers, catalytic activities, and links to related protein sequences and human diseases. This resource aids researchers in understanding enzyme functions and their biological relevance.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Enzyme nomenclature is crucial for standardized scientific communication.
  • The International Union of Biochemistry and Molecular Biology (IUBMB) provides recommendations for enzyme naming.
  • Accurate enzyme information is vital for research in various biological disciplines.

Purpose of the Study:

  • To describe the ENZYME data bank, a comprehensive repository for enzyme nomenclature.
  • To highlight the data contained within the ENZYME database, including EC numbers and associated information.
  • To emphasize the database's utility for researchers seeking enzyme-related data.

Main Methods:

  • The ENZYME data bank is curated based on IUBMB recommendations.
  • It systematically collects and organizes enzyme data, assigning unique EC numbers.

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  • Information is cross-referenced with other biological databases like SWISS-PROT.

    • Main Results:

    • The ENZYME data bank provides EC numbers, recommended names, and alternative names for characterized enzymes.
    • Detailed catalytic activity and cofactor requirements are included for each enzyme.
    • Links to corresponding SWISS-PROT protein sequences and associated human diseases are provided.

    Conclusions:

    • The ENZYME data bank serves as a vital, centralized resource for enzyme information.
    • It facilitates research by connecting enzyme nomenclature with protein sequences and disease associations.
    • The database supports advancements in biochemistry, molecular biology, and medicine through accessible, standardized data.