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Structure comparison and structure patterns.

I Eidhammer1, I Jonassen, W R Taylor

  • 1Department of Informatics, University of Bergen, Høyteknologisentret, N-5020 Bergen, Norway. Ingvar.Edihammer@ii.uib.no

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|January 12, 2001
PubMed
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This study explores comparing multiple structures to find common patterns. It introduces a framework for classifying and reviewing various structure comparison and pattern discovery methods.

Area of Science:

  • Computational biology
  • Bioinformatics
  • Structural analysis

Background:

  • Comparing biological structures is crucial for understanding function.
  • Discovering common patterns aids in identifying conserved motifs and evolutionary relationships.
  • Existing methods for structure comparison and pattern discovery vary widely.

Purpose of the Study:

  • To investigate pairwise and multiple structure comparison techniques.
  • To address the challenge of automatically discovering common patterns within sets of structures.
  • To develop a unified framework for classifying and reviewing these methods.

Main Methods:

  • Describing and representing structures and patterns.
  • Developing scoring systems and algorithms for comparison and discovery.

Related Experiment Videos

  • Establishing a classification framework and nomenclature for methods.

    • Main Results:

    • A comprehensive review of various structure comparison and pattern discovery algorithms.
    • The proposed framework categorizes and contextualizes different methodological approaches.
    • Identification of key aspects in structure representation and pattern discovery.

    Conclusions:

    • The developed framework provides a systematic way to understand and compare diverse structure analysis methods.
    • This work facilitates the selection and development of optimal algorithms for specific structural biology problems.
    • Advances in automated pattern discovery are essential for large-scale structural data analysis.