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Using protein homology models for structure-based studies: approaches to model refinement.

V Kairys1, M K Gilson, Miguel Xavier Fernandes

  • 1Centro de Química da Madeira, Departamento de Química da Universidade da Madeira, Campus da Penteada, 9000-390 Funchal, Portugal. kairys@uma.pt

Thescientificworldjournal
|December 13, 2006
PubMed
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Homology modeling creates protein 3-D structures for drug discovery when experimental data is lacking. Refinement methods improve models, but effectiveness varies by protein system.

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Drug discovery

Background:

  • Homology modeling generates 3-D protein structures using known related proteins as templates.
  • Experimental structural data is often unavailable for therapeutic targets.
  • Accurate protein models are crucial for identifying potential drug binders.

Purpose of the Study:

  • To assess the utility of protein homology models in drug discovery.
  • To review various homology model refinement techniques.
  • To evaluate the correlation between refinement complexity and model performance.

Main Methods:

  • Protein structure threading for initial model generation.
  • Application of diverse refinement strategies, from simple to complex.

Related Experiment Videos

  • Evaluation of homology models in the context of identifying therapeutic binders.

    • Main Results:

    • Homology models are valid tools for discovering binders for therapeutic targets.
    • Refinement approaches are highly system-dependent.
    • Elaborate refinement methods do not consistently yield superior homology models.

    Conclusions:

    • Homology modeling is a valuable approach in drug design pipelines.
    • Careful selection and refinement of homology models are essential.
    • System-specific evaluation is critical for successful application of homology modeling.