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SCOP: a Structural Classification of Proteins database

T J Hubbard1, B Ailey, S E Brenner

  • 1Sanger Centre, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK.

Nucleic Acids Research
|December 10, 1998
PubMed
Summary
This summary is machine-generated.

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The Structural Classification of Proteins (SCOP) database offers a detailed protein structure hierarchy. It uniquely distinguishes evolutionary and physical relationships, aiding algorithm calibration and statistics.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational biology

Background:

  • Protein structure classification is crucial for understanding biological function.
  • Existing databases lack a clear distinction between evolutionary and physical relationships.

Purpose of the Study:

  • To introduce the Structural Classification of Proteins (SCOP) database.
  • To provide a hierarchical classification of protein structures.
  • To highlight SCOP's unique distinction between evolutionary and physical relationships.

Main Methods:

  • Hierarchical classification of protein structures into family, superfamily, and fold levels.
  • Detailed description of relationships based on evolutionary and geometric criteria.

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Main Results:

  • SCOP database provides a comprehensive classification of known protein structures.
  • Unique differentiation between evolutionary relationships (family, superfamily) and geometric relationships (fold).
  • Database is freely accessible online.

Conclusions:

  • SCOP serves as a valuable resource for calibrating sequence search algorithms.
  • Enables the generation of population statistics on protein structures.
  • Facilitates research in structural biology and bioinformatics.