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Related Experiment Videos

Automated comparative modelling of protein structures

A C May1, T L Blundell

  • 1Department of Crystallography, Birkbeck College, University of London, UK.

Current Opinion in Biotechnology
|August 1, 1994
PubMed
Summary
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Automated protein modeling often overlooks loop regions, a key source of errors. This study highlights methods for improving loop modeling in comparative protein modeling, enhancing structural accuracy.

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Protein structure prediction

Background:

  • Automated protein modeling typically uses rigid fragments from known structures.
  • Loop regions in protein models are often neglected, leading to significant errors.
  • Recent advancements include side-chain modeling and automated model evaluation.

Purpose of the Study:

  • To address the under-modeling of loop regions in automated protein structure prediction.
  • To improve the accuracy of protein models, particularly for distantly related proteins.
  • To enhance comparative modeling procedures using distance restraints.

Main Methods:

  • Utilizing distance restraints within comparative modeling frameworks.
  • Focusing on the conformational analysis and modeling of protein loop regions.

Related Experiment Videos

  • Incorporating recent progress in automatic evaluation of model structures.

    • Main Results:

    • Identified loop regions as a major source of errors in current protein models.
    • Demonstrated the utility of distance restraints for modeling distantly related proteins.
    • Showcased advancements in the automatic assessment of protein model quality.

    Conclusions:

    • Improved modeling of loop regions is crucial for accurate protein structure prediction.
    • Comparative modeling with distance restraints offers a viable approach for challenging targets.
    • Further development in automated model evaluation is essential for reliable protein modeling.