Protein secondary structure: entropy, correlations and prediction.

@article{Crooks2004ProteinSS,
  title={Protein secondary structure: entropy, correlations and prediction.},
  author={Gavin E. Crooks and Steven E. Brenner},
  journal={Bioinformatics},
  year={2004},
  volume={20 10},
  pages={
          1603-11
        }
}
  • Gavin E. Crooks, Steven E. Brenner
  • Published 2004
  • Biology, Medicine, Mathematics
  • Bioinformatics
  • MOTIVATION Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone or by non-local tertiary interactions? To answer this question, we measure the entropy densities of primary and secondary structure sequences, and the local inter-sequence mutual information density. RESULTS We find that the important inter-sequence interactions are short ranged, that correlations between neighboring amino acids are essentially… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 74 CITATIONS, ESTIMATED 90% COVERAGE

    Measurements of protein sequence-structure correlations.

    VIEW 4 EXCERPTS
    CITES BACKGROUND

    The effect of long-range interactions on the secondary structure formation of proteins.

    • Daisuke Kihara
    • Chemistry, Medicine
    • Protein science : a publication of the Protein Society
    • 2005
    VIEW 1 EXCERPT
    CITES BACKGROUND

    Protein Secondary Structure Prediction Using Large Margin Methods

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Amino acid size, charge, hydropathy indices and matrices for protein structure analysis

    • Jan C. Biro
    • Biology, Medicine
    • Theoretical Biology and Medical Modelling
    • 2005
    VIEW 1 EXCERPT
    CITES METHODS

    FILTER CITATIONS BY YEAR

    2004
    2019

    CITATION STATISTICS

    • 6 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 50 REFERENCES

    Review: protein secondary structure prediction continues to rise.

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Bayesian Segmentation of Protein Secondary Structure

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Prediction of protein secondary structure at better than 70% accuracy.

    VIEW 2 EXCERPTS

    Fast protein fold recognition via sequence to structure alignment and contact capacity potentials.

    VIEW 2 EXCERPTS