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Related Experiment Videos

Developing a move-set for protein model refinement.

Marc N Offman1, Paul W Fitzjohn, Paul A Bates

  • 1Biomolecular Modelling Laboratory, Cancer Research UK London Research Institute, Lincoln's Inn Fields Laboratories London, WC2A 3PX, UK.

Bioinformatics (Oxford, England)
|May 18, 2006
PubMed
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This study introduces a novel method for refining atomic models by blending multiple structures. The approach improves model conformation beyond existing templates, enhancing protein structure prediction accuracy.

Area of Science:

  • Computational biology
  • Structural bioinformatics

Background:

  • Accurate atomic models are crucial for understanding protein function.
  • Existing methods often rely on experimentally determined structures as templates.
  • Refining these models presents a significant challenge in structural bioinformatics.

Purpose of the Study:

  • To develop and present a novel method for refining atomic models of protein structures.
  • To combine high-quality regions from multiple models into a single, improved structure.
  • To enhance the accuracy of protein structure prediction.

Main Methods:

  • A new set of refinement operators (move-set) was developed to explore conformational space.
  • A genetic algorithm was employed to reshuffle and repack structural components.

Related Experiment Videos

  • A cost function incorporating physical and guiding components was utilized to refine models.

    • Main Results:

    • The developed move-set effectively searches conformational space.
    • The refinement process successfully improves model conformation.
    • The method demonstrated potential to surpass the accuracy of the best available templates for comparative modeling.

    Conclusions:

    • The presented approach offers a powerful tool for refining protein structural models.
    • This method can lead to more accurate atomic models than currently achievable.
    • The populus software package is available for broader use in the scientific community.