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MITOP, the mitochondrial proteome database: 2000 update.

C Scharfe1, P Zaccaria, K Hoertnagel

  • 1Medizinische Genetik, Ludwig-Maximilians-Universität, München, Germany.

Nucleic Acids Research
|December 11, 1999
PubMed
Summary
This summary is machine-generated.

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MITOP is a database for mitochondrial and nuclear gene and protein information across five species. It aids in understanding interspecies relationships and human diseases linked to mitochondrial protein abnormalities.

Area of Science:

  • * Molecular Biology
  • * Bioinformatics
  • * Genetics

Background:

  • * Mitochondrial proteins and their genes are crucial for cellular function.
  • * Comprehensive genetic and functional data are needed for research.
  • * Existing databases may lack integrated information on mitochondrial proteomes.

Purpose of the Study:

  • * To present MITOP, a comprehensive database for nuclear and mitochondrial gene and protein information.
  • * To facilitate research on interspecies relationships and mitochondrial diseases.
  • * To provide extensive search facilities and annotated data.

Main Methods:

  • * Compilation of annotated data from online resources and literature for five species (yeast, mouse, C. elegans, N. crassa, human).
  • * Implementation of homology searches and orthologue tables, expanded with Rickettsia prowazeckii and Escherichia coli genomes.

Related Experiment Videos

  • * Analysis of the yeast genome using MITOPROT to identify mitochondrial targeting sequences.

    • Main Results:

    • * MITOP offers integrated genetic and functional information for nuclear and mitochondrial proteins.
    • * Advanced search functionalities include gene/protein catalogues, homology, pathways, and a human disease catalogue.
    • * Expanded orthologue tables and identification of new mitochondrial proteins through genome analysis.

    Conclusions:

    • * MITOP serves as a valuable resource for systematic genetic characterization of the mitochondrial proteome.
    • * The database facilitates investigations into interspecies relationships and mitochondrial disease.
    • * Enhanced data and search capabilities support research in molecular biology and bioinformatics.