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Related Experiment Videos

Full cyclic coordinate descent: solving the protein loop closure problem in Calpha space.

Wouter Boomsma1, Thomas Hamelryck

  • 1Bioinformatics center, Institute of Molecular Biology and Physiology, University of Copenhagen, Universitetsparken 15, Building 10, DK-2100 Copenhagen, Denmark. wb@binf.ku.dk

BMC Bioinformatics
|June 30, 2005
PubMed
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We developed Full Cyclic Coordinate Descent (FCCD), a novel method for protein structure prediction that efficiently solves the loop closure problem for Calpha models. FCCD accurately generates realistic protein conformations by optimizing both bond and dihedral angles.

Area of Science:

  • Computational Biology
  • Structural Biology
  • Bioinformatics

Background:

  • The loop closure problem is critical for protein structure prediction, particularly in homology modeling and de novo prediction.
  • Existing methods often fix bond angles, which is unsuitable for Calpha-only protein models where pseudo bond angles vary.
  • De novo methods require loop closure techniques that can adjust both bond and dihedral angles.

Purpose of the Study:

  • To present a new method, Full Cyclic Coordinate Descent (FCCD), for solving the loop closure problem in Calpha-only protein models.
  • To address the limitations of existing loop closure algorithms that do not account for varying pseudo bond angles in simplified protein models.

Main Methods:

  • Developed a variant of Cyclic Coordinate Descent (CCD), an inverse kinematics technique.

Related Experiment Videos

  • Replaced CCD's axis-based rotation optimization with singular value decomposition for general rotation matrix optimization.
  • Implemented Full CCD (FCCD) to alter both bond and dihedral angles, equivalent to applying a full rotation matrix.

    • Main Results:

    • FCCD demonstrates high performance on random protein Calpha segments and various loop lengths (4-30 amino acids).
    • The method is fast, achieves a high success rate, and generates conformations similar to real protein loops.
    • Angle constraints minimally impact FCCD's performance.

    Conclusions:

    • FCCD is an effective and efficient solution for the loop closure problem in Calpha-only protein models.
    • The method's numerical stability and ease of implementation make it a valuable tool for protein structure prediction.
    • A Python reference implementation of FCCD is available.