• DocumentCode
    2362374
  • Title

    Searching over a domain critical function: Recasting the phase problem of X-ray crystallography

  • Author

    Chang, C.-S. ; DeTitta, G. ; Hauptman, H. ; Miller, R. ; Thuman, P. ; Weeks, C.

  • Author_Institution
    Dept. of Comput. Sci., State Univ. of New York at Buffalo, NY, USA
  • fYear
    1993
  • fDate
    1-5 Mar 1993
  • Firstpage
    183
  • Lastpage
    189
  • Abstract
    This novel technique provides researchers with a powerful and practical tool to solve the phase problem in X-ray crystallography. The authors present a formulation of the phase problem in terms of a minimal function of phases and a new heuristic search algorithm called shake-and-bake for solving this minimal function. This algorithm is based on a hill climbing approach and a back-and-forth transformation between related spaces to utilize implicit chemical information. Since the shake-and-bake algorithm is computationally intensive, several parallel implementations have been explored. These implementations include master/slave multiple instruction/multiple data (MIMD) implementations on an Intel iPSC/860 Hypercube and a Thinking Machines Corporation CM-5. The experimental results indicate that this method is effective on structures, including three previously unknown structures in a variety of space groups
  • Keywords
    X-ray crystallography; chemistry computing; heuristic programming; parallel algorithms; parallel machines; search problems; CM-5; Intel iPSC/860 Hypercube; Thinking Machines Corporation; X-ray crystallography; back-and-forth transformation; chemical information; heuristic search algorithm; hill climbing approach; instruction/multiple data; master/slave multiple; minimal function; parallel implementations; phase problem; shake-and-bake; Antibiotics; Artificial intelligence; Chemicals; Computer science; Crystallography; Heuristic algorithms; Hypercubes; Master-slave; Microorganisms; X-ray diffraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-8186-3840-0
  • Type

    conf

  • DOI
    10.1109/CAIA.1993.366612
  • Filename
    366612