• DocumentCode
    2370165
  • Title

    An artificial backbone of hydrogens for finding the conformation of protein molecules

  • Author

    Lavor, C. ; Mucherino, A. ; Liberti, L. ; Maculan, N.

  • Author_Institution
    Dept. of Appl. Math. (IMECC-UNICAMP), State Univ. of Campinas, Campinas, Brazil
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    152
  • Lastpage
    155
  • Abstract
    NMR experiments can provide distances between pairs of hydrogens of a protein molecule. The problem of identifying the coordinates of such hydrogens by exploiting the information on the distances is a molecular distance geometry problem (MDGP). In a previous work, we defined an artificial backbone of hydrogens related to the protein backbones, where a particular ordering was given to the hydrogens. This ordering allows to formulate the MDGP as a combinatorial optimization problem, to which we refer as the discretizable MDGP (DMDGP) and that we efficiently solve by an exact algorithm, the branch and prune (BP) algorithm. Once the coordinates of the hydrogens have been found, the problem of finding the remaining backbone atoms (N, C and C) is another MDGP. In this short paper, we propose a simple method for solving the MDGP related to the backbone atoms N, C and C of a protein, where the coordinates of the hydrogens previously found by the BP algorithm are exploited.
  • Keywords
    combinatorial mathematics; hydrogen; molecular biophysics; optimisation; proteins; NMR; artificial hydrogen backbone; branch-and-prune algorithm; combinatorial optimization problem; discretizable MDGP; molecular distance geometry problem; protein backbones; protein molecules; Digital arithmetic; Hydrogen; Information geometry; Mathematics; NP-hard problem; Nuclear magnetic resonance; Optimization methods; Protein engineering; Spine; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-5121-0
  • Type

    conf

  • DOI
    10.1109/BIBMW.2009.5332119
  • Filename
    5332119