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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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Protein structure annotation resources.

Margaret J Gabanyi1, Helen M Berman

  • 1Center for Integrative Proteomics Research, Rutgers, The State University of New Jersey, 174 Frelinghuysen Road, Piscataway, NJ, 08854, USA, gabanyi@rcsb.rutgers.edu.

Methods in Molecular Biology (Clifton, N.J.)
|December 16, 2014
PubMed
Summary
This summary is machine-generated.

Protein structure annotation databases provide crucial information for understanding protein function. This review covers key databases and data types for exploring 3-D protein structures.

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Area of Science:

  • Biochemistry and Structural Biology
  • Bioinformatics and Computational Biology

Background:

  • Three-dimensional (3-D) protein structures are essential for understanding molecular function.
  • Protein structure annotation databases curate vital information on experimental 3-D protein structures.

Purpose of the Study:

  • To introduce primary structure repositories and value-added structural annotation databases.
  • To describe the range of information provided by these databases.
  • To explain different levels of annotation data (primary, derived, inferred) and their interpretation.

Main Methods:

  • Review of existing protein structure repositories and annotation databases.
  • Analysis of the types of information curated within these databases.
  • Categorization of annotation data based on origin (primary, derived, inferred).

Main Results:

  • Identification of key databases for accessing 3-D protein structure information.
  • Overview of the diverse data types available for structural annotation.
  • Framework for distinguishing and utilizing different levels of annotation data.

Conclusions:

  • Protein structure annotation databases are critical resources for molecular biology research.
  • Understanding annotation data levels ensures accurate interpretation of protein structure-function relationships.
  • This review provides a guide to navigating and utilizing structural annotation resources effectively.