• DocumentCode
    2846982
  • Title

    Petri net modeling and automated system control of protein crystallization experimentation in drug discovery

  • Author

    Russo, Mark F. ; Michalczyk, Stephen ; Cahn, Matthew H. ; Klei, Herbert

  • Author_Institution
    Bristol-Myers Squibb Pharm. Res. Inst., Princeton, NJ
  • fYear
    2008
  • fDate
    23-26 Aug. 2008
  • Firstpage
    906
  • Lastpage
    911
  • Abstract
    A Petri net was used to model, analyze, and ultimately control a novel laboratory robotic system designed to automatically image protein crystallization experiments per user-specified schedules. Flexibility in system operation was necessary in order to accommodate unpredictable experimental tray entry and removal by crystallographers, as well as on-the-fly modification of imaging schedules to account for unplanned events or delays. A Petri net model of the system was created and analyzed. The Petri net was implemented in software, interfaced with the system hardware, and used to operate the integrated system. The Petri net controlled automated crystallization imaging system has been in daily use for well over one full year.
  • Keywords
    Petri nets; crystallisation; drugs; laboratory techniques; medical robotics; proteins; scheduling; automated crystallization imaging system; automated system control; drug discovery; imaging schedules; laboratory robotic system; on-the-fly modification; petri net modeling; protein crystallization experimentation; user-specified schedules; Automatic control; Control system analysis; Control system synthesis; Crystallization; Crystallography; Drugs; Image analysis; Laboratories; Proteins; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2022-3
  • Electronic_ISBN
    978-1-4244-2023-0
  • Type

    conf

  • DOI
    10.1109/COASE.2008.4626416
  • Filename
    4626416