• DocumentCode
    1151702
  • Title

    DNA Deformation Energy as an Indirect Recognition Mechanism in Protein-DNA Interactions

  • Author

    Aeling, Kimberly A. ; Steffen, Nicholas R. ; Johnson, Matthew ; Hatfield, G. Wesley ; Lathrop, Richard H. ; Senear, Donald F.

  • Author_Institution
    Dept. of Microbiol. & Molecular Genetics, California Univ., Irvine, CA
  • Volume
    4
  • Issue
    1
  • fYear
    2007
  • Firstpage
    117
  • Lastpage
    125
  • Abstract
    Proteins that bind to specific locations in genomic DNA control many basic cellular functions. Proteins detect their binding sites using both direct and indirect recognition mechanisms. Deformation energy, which models the energy required to bend DNA from its native shape to its shape when bound to a protein, has been shown to be an indirect recognition mechanism for one particular protein, integration host factor (IHF). This work extends the analysis of deformation to two other DNA-binding proteins, CRP and SRF, and two endonucleases, I-Crel and I-Ppol. Known binding sites for all five proteins showed statistically significant differences in mean deformation energy as compared to random sequences. Binding sites for the three DNA-binding proteins and one of the endonucleases had mean deformation energies lower than random sequences. Binding sites for I-Ppol had mean deformation energy higher than random sequences. Classifiers that were trained using the deformation energy at each base pair step showed good cross-validated accuracy when classifying unseen sequences as binders or nonbinders. These results support DNA deformation energy as an indirect recognition mechanism across a wider range of DNA-binding proteins. Deformation energy may also have a predictive capacity for the underlying catalytic mechanism of DNA-binding enzymes
  • Keywords
    DNA; bending; biochemistry; biology computing; biomechanics; catalysis; cellular biophysics; enzymes; genetics; molecular biophysics; DNA bending; DNA deformation energy; DNA-binding enzymes; binding sites; catalytic mechanism; cellular functions; endonucleases; genomic DNA; indirect recognition mechanism; integration host factor; protein-DNA interactions; Biochemistry; Bioinformatics; Character recognition; DNA; Deformable models; Gene expression; Genomics; Proteins; Random sequences; Shape; DNA bending; DNA-protein binding; deformation energy.; indirect readout; indirect recognition; perceptron learning; Algorithms; Animals; Base Sequence; Binding Sites; Cyclic AMP Receptor Protein; DNA; DNA Restriction Enzymes; DNA, Algal; DNA, Bacterial; DNA, Protozoan; DNA-Binding Proteins; Endodeoxyribonucleases; Humans; Integration Host Factors; Models, Chemical; Models, Molecular; Protein Binding; Serum Response Factor; Thermodynamics;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2007.1000
  • Filename
    4104465