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Recombineering Homologous Recombination Constructs in Drosophila
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Homology Searches Using Supersecondary Structure Code.

Hiroshi Izumi1

  • 1National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba West, Ibaraki, Japan. izumi.h@aist.go.jp.

Methods in Molecular Biology (Clifton, N.J.)
|April 5, 2019
PubMed
Summary
This summary is machine-generated.

Supersecondary structure code (SSSC) offers a sensitive method for protein analysis, building upon Ramachandran plot concepts and torsion angle data. This approach aids in homology searches and understanding conformational changes in protein structures.

Keywords:
ConformationDSSPMultiple sequence alignmentRamachandran plotSupersecondary structure code

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Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • The Ramachandran plot and torsion angles define protein backbone conformations.
  • Existing methods like DSSP accurately assign secondary structures but are less sensitive to supersecondary structures.
  • Supersecondary structure code (SSSC) provides a novel representation for protein structural patterns.

Purpose of the Study:

  • To introduce and describe the Supersecondary Structure Code (SSSC) for protein analysis.
  • To detail protocols for homology search methods using SSSC.
  • To explore the application of SSSC in sequence alignment and identifying structural patterns.

Main Methods:

  • Development of SSSC based on Ramachandran plot, ω angle, and torsion angle positions.
  • Utilizing fuzzy and exact search methods with template patterns (e.g., 3a5c4a for H, 6c4a4a for S).
  • Applying SSSC for sequence alignment and assigning SSSC type T (other).

Main Results:

  • SSSC is highly sensitive to supersecondary structures, offering detailed insights.
  • Protocols for homology search, sequence alignment, and fuzzy/exact searches using SSSC are established.
  • SSSC is shown to be variable with protein conformational changes.

Conclusions:

  • SSSC is a valuable tool for sensitive supersecondary structure analysis and homology detection.
  • Utilizing extensive Protein Data Bank (PDB) data enhances homology search accuracy.
  • Thorough SSSC sequence analysis can reveal the functional roles of specific protein patterns.