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Related Experiment Videos

Puzzling over orphan enzymes.

O Lespinet1, B Labedan

  • 1Institut de Génétique et Microbiologie, CNRS UMR 8621, Université Paris Sud, Bâtiment 400, 91405, Orsay Cedex, France.

Cellular and Molecular Life Sciences : CMLS
|February 9, 2006
PubMed
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Over 39% of known enzyme activities lack associated sequences in databases. Improving genome annotation and community efforts are crucial to identify these "orphan enzymes" and bridge the knowledge gap.

Area of Science:

  • Biochemistry
  • Genomics
  • Bioinformatics

Background:

  • A significant gap exists between characterized enzyme activities (EC numbers) and their corresponding amino acid sequences in public databases.
  • This disconnect spans nearly all enzyme classes, hindering comprehensive understanding and research.
  • Currently, over 39% of well-defined enzyme activities lack associated sequence data.

Purpose of the Study:

  • To highlight the urgent need to identify sequences for 1525 "orphan enzymes" (EC numbers without sequences).
  • To propose strategies for bridging the gap between enzyme function and sequence information.
  • To emphasize the importance of community involvement in improving public databases.

Main Methods:

  • Reviewing current enzyme activity and sequence data in major public databases.

Related Experiment Videos

  • Proposing genome annotation improvements as a key strategy.
  • Suggesting peptide mass mapping and genome mining for identifying sequences, especially in species lacking genetic tools.

    • Main Results:

    • Identified that over 39% of enzyme activities (EC numbers) are not linked to any sequence.
    • Highlighted the widespread nature of this data gap across enzyme classes.
    • Pinpointed 1525 orphan enzymes requiring urgent sequence identification.

    Conclusions:

    • Improving genome annotation is essential for uncovering sequenceless enzymes.
    • Peptide mass mapping and genome mining are valuable techniques for sequence discovery.
    • Collaborative efforts from the scientific community are vital for updating and completing public enzyme databases.