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Protein structure comparison using representation by line segment sequences

T Akutsu1, H Tashimo

  • 1Department of Computer Science, Gunma University, Japan. akutsu@cs.gunma-u.ac.jp

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|January 1, 1996
PubMed
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A novel method compares tertiary protein structures using line segment sequences, offering a faster alternative to traditional structure alignment. This approach enhances protein structure comparison and database searching efficiency.

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Biochemistry

Background:

  • Accurate comparison of tertiary protein structures is crucial for understanding protein function and evolution.
  • Existing methods, such as topology diagrams and structure alignment, have limitations in speed and accuracy.
  • There is a need for efficient and effective methods for tertiary protein structure comparison.

Purpose of the Study:

  • To propose a new, computationally efficient method for comparing tertiary protein structures.
  • To position the new method as an intermediate approach between topology-based and structure alignment methods.
  • To demonstrate the effectiveness of the proposed method in database searching.

Main Methods:

  • Approximating each tertiary protein structure using a sequence of line segments.

Related Experiment Videos

  • Computing an alignment of these line segment sequences for comparison.
  • Representing protein structures with sequences of at most 100 line segments to reduce computational cost.

    • Main Results:

    • The proposed method provides a balance between topology diagrams and structure alignment.
    • It requires less CPU time compared to traditional structure alignment methods.
    • Effectiveness confirmed through comparison with a previous method and successful application in database searching.

    Conclusions:

    • The line segment sequence method offers an efficient and effective approach for tertiary protein structure comparison.
    • This method has practical implications for large-scale protein structure database searching.
    • The technique provides a valuable addition to the toolkit for structural bioinformatics.