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Helix-bundle membrane protein fold templates.

J U Bowie1

  • 1Department of Chemistry and Biochemistry and DOE Laboratory of Structural Biology and Molecular Medicine, UCLA, Los Angeles, California 90095-1570, USA. bowie@mbi.ucla.edu

Protein Science : a Publication of the Protein Society
|January 13, 2000
PubMed
Summary
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This study explores predicting membrane protein structures by computing potential folds. Results show a manageable number of folds for fewer helices, but exponentially more for seven helices, aiding structure prediction.

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Membrane protein research

Background:

  • Fold recognition is key for protein structure prediction.
  • Experimental determination of membrane protein folds is limited.
  • Computational approaches are needed to explore membrane protein structures.

Purpose of the Study:

  • To assess the feasibility of computing membrane protein folds.
  • To determine the number of potential folds for varying helix counts.
  • To provide templates for membrane protein structure prediction.

Main Methods:

  • Computational sampling of conformation space for membrane proteins.
  • Analysis of fold diversity based on the number of transmembrane helices.
  • Generation of potential membrane protein folds.

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Main Results:

  • Effective conformational space sampling is possible for few helices.
  • Three-helix membrane proteins can be represented by ~30 folds.
  • Seven-helix membrane proteins require ~1,500,000 distinct folds.

Conclusions:

  • A significant number of potential membrane protein folds can be computed.
  • The generated folds can serve as templates for fold recognition.
  • These folds offer starting points for comprehensive conformational searches.