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Related Experiment Videos

Hierarchical protein structure superposition using both secondary structure and atomic representations

A P Singh1, D L Brutlag

  • 1Section on Medical Informatics, Stanford University, CA 94305, USA. apsingh@cmgm.stanford.edu

Proceedings. International Conference on Intelligent Systems for Molecular Biology
|January 1, 1997
PubMed
Summary

This study introduces a novel protein structure comparison algorithm. It effectively identifies structural similarities between distantly related proteins, matching established methods like DALI.

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Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • Protein structural comparison is crucial for identifying motifs and fold families.
  • Existing methods may have limitations in detecting subtle structural similarities.

Purpose of the Study:

  • To present a new algorithm for hierarchical protein structure comparison.
  • To evaluate the algorithm's performance against established methods and in large-scale database searches.

Main Methods:

  • Representing protein secondary structures (alpha-helices, beta-strands) as vectors.
  • Employing seven scoring functions and dynamic programming for vector alignment.
  • Refining atomic-level alignment by minimizing Root Mean Square Deviation (RMSD) of core atoms.

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Main Results:

  • The algorithm demonstrated comparable performance to the DALI algorithm in detecting structural similarity.
  • Searches against the Protein Data Bank (PDB) identified structural similarities between distantly related proteins.
  • The hierarchical approach allows for sensitive detection of structural relationships across different levels of protein organization.

Conclusions:

  • The developed algorithm offers a robust and sensitive method for protein structure comparison.
  • This tool can aid in discovering evolutionary relationships and functional insights from protein structures.
  • The hierarchical representation and iterative refinement enhance the accuracy of structural alignment.