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Related Experiment Videos

Population statistics of protein structures: lessons from structural classifications

S E Brenner1, C Chothia, T J Hubbard

  • 1Structural Biology Centre, National Institute for Bioscience and Human-Technology, Ibaraki, Japan. brenner@hyper.stanford.edu

Current Opinion in Structural Biology
|June 1, 1997
PubMed
Summary
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Structural classifications help interpret protein evolution and diversity. They reveal that a few protein folds and superfamilies are highly prevalent, indicating a skewed distribution of protein structures in nature.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Evolutionary Biology

Background:

  • Protein structural classifications are essential for understanding protein relationships.
  • Recent analyses reveal non-uniform distributions in protein architecture.
  • These classifications offer insights into the diversity of protein superfamilies.

Purpose of the Study:

  • To summarize the utility of structural classifications in protein interpretation.
  • To highlight the observed skewed distributions in protein structural data.
  • To provide an estimate of the total number of protein superfamilies.

Main Methods:

  • Utilizing established protein structural classification systems.
  • Analyzing large-scale datasets of protein structures.

Related Experiment Videos

  • Identifying patterns of fold and superfamily prevalence.

    • Main Results:

    • Structural classifications effectively describe protein relatedness.
    • A small subset of protein folds are disproportionately common.
    • A limited number of superfamilies show extensive divergence.
    • The classifications suggest a finite number of superfamilies exist.

    Conclusions:

    • Protein structural classifications are powerful tools for biological interpretation.
    • The prevalence of certain protein folds and superfamilies points to evolutionary biases.
    • Understanding these distributions aids in estimating the full scope of protein diversity.