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Related Experiment Videos

From protein structure to function.

C A Orengo1, A E Todd, J M Thornton

  • 1Biomolecular Structure and Modelling Unit, Department of Biochemistry, University College London, UK. cath@biochem.ucl.ac.uk

Current Opinion in Structural Biology
|June 11, 1999
PubMed
Summary
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Protein structural family databases are growing and can help predict protein function. Functional information is sometimes conserved within families, but often requires additional sequence or structural data.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Protein structural family databases are organized by evolutionary relationships and folding patterns.
  • These databases are expanding, with potential to encompass many sequence families due to structural genomics.
  • Functional information can be inferred from structural similarity to some extent.

Purpose of the Study:

  • To explore the utility of protein structural family databases for functional inference.
  • To highlight the relationship between structural similarity and functional conservation.
  • To identify scenarios where additional data is needed for functional prediction.

Main Methods:

  • Analysis of existing protein structural family databases.
  • Comparison of functional conservation across different structural families.

Related Experiment Videos

  • Evaluation of the role of sequence patterns and surface properties in functional inheritance.

    • Main Results:

    • Structural similarity can predict function for some protein families.
    • Function is not always conserved within structural families.
    • Additional data like sequence patterns and residue clusters are crucial for inferring function in other families.

    Conclusions:

    • Protein structural databases are valuable resources for understanding protein function.
    • Functional inference from structure is context-dependent.
    • Integrating structural data with sequence and other biophysical properties enhances functional prediction accuracy.