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LMPD: LIPID MAPS proteome database.

Dawn Cotter1, Andreia Maer, Chittibabu Guda

  • 1San Diego Supercomputer Center, University of California, 9500 Gilman Drive, La Jolla, CA 92093-0505, USA.

Nucleic Acids Research
|December 31, 2005
PubMed
Summary
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The LIPID MAPS Proteome Database (LMPD) offers a comprehensive resource for lipid-associated proteins. It provides integrated data and search functionalities for researchers studying lipid metabolism.

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Proteomics

Background:

  • Lipid metabolism involves complex protein interactions.
  • A centralized database for lipid-associated proteins is needed.
  • Existing resources lack comprehensive lipid metabolism protein data.

Purpose of the Study:

  • To develop and release the LIPID MAPS Proteome Database (LMPD).
  • To provide a searchable repository of human and mouse lipid-associated proteins.
  • To integrate diverse biological annotations for lipid metabolism research.

Main Methods:

  • Compiled protein sequences and annotations from public databases (UniProt, KEGG, GO).
  • Utilized keyword searches and data integration from EntrezGene, ENZYME, and other resources.

Related Experiment Videos

  • Assigned lipid class associations based on Gene Ontology and KEGG annotations.

    • Main Results:

    • The initial release contains 2959 records of human and mouse proteins.
    • Proteins are annotated with cross-links to external databases (UniProt, KEGG, GO).
    • Database allows searching and filtering by protein ID, keywords, species, and lipid class.

    Conclusions:

    • LMPD serves as a valuable, publicly accessible resource for lipid metabolism research.
    • The database facilitates exploration of protein functions and interactions in lipid pathways.
    • Integrated data and search capabilities enhance research efficiency in lipidomics.