A lattice model for protein structure prediction at low resolution.

  • D A Hinds
    Beckman Laboratories for Structural Biology, Department of Cell Biology, Stanford University School of Medicine, CA 94305.
  • M Levitt
    Beckman Laboratories for Structural Biology, Department of Cell Biology, Stanford University School of Medicine, CA 94305.

書誌事項

公開日
1992-04
DOI
  • 10.1073/pnas.89.7.2536
公開者
Proceedings of the National Academy of Sciences

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説明

<jats:p>The prediction of the folded structure of a protein from its sequence has proven to be a very difficult computational problem. We have developed an exceptionally simple representation of a polypeptide chain, with which we can enumerate all possible backbone conformations of small proteins. A protein is represented by a self-avoiding path of connected vertices on a tetrahedral lattice, with several amino acid residues assigned to each lattice vertex. For five small structurally dissimilar proteins, we find that we can separate native-like structures from the vast majority of non-native folds by using only simple structural and energetic criteria. This method demonstrates significant generality and predictive power without requiring foreknowledge of any native structural details.</jats:p>

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