• DocumentCode
    3551033
  • Title

    Maximum likelihood estimation of multiple-bond kinetics from single-molecule pulling experiments

  • Author

    Hukkanen, E.J. ; Wieland, J.A. ; Leckband, D.E. ; Braatz, R.D.

  • Author_Institution
    Illinois Univ., Urbana, IL, USA
  • fYear
    2005
  • fDate
    8-10 June 2005
  • Firstpage
    3265
  • Abstract
    Kinetic parameters associated with bond dissociation have been identified from experiments in which mechanical forces exerted by atomic force microscopy or laser tweezers are used to break bonds in single molecules. Analysis of a single-bond microscopic model indicates that the breakage frequency distribution is most sensitive to the value of the distance to the free-energy minimum barrier and least sensitive to the molecular spring constant. This analysis plus limitations in the single-bond microscopic model motivate a double-bond microscopic model that requires only one additional kinetic parameter. In single-molecule experiments for the neural cellular adhesion molecule (NCAM), the doublebond microscopic model can more accurately describe the breakage frequency distribution for both high and low values of the applied force, which is consistent with the molecular structure of the NCAM determined by a surface force apparatus. This provides a systematic procedure for gaining information on the molecular structure of single molecules by analyzing breakage frequency distributions measured during single-molecule pulling experiments.
  • Keywords
    atomic force microscopy; maximum likelihood estimation; molecular biophysics; physiological models; atomic force microscopy; bond dissociation; breakage frequency distribution; doublebond microscopic model; laser tweezers; maximum likelihood estimation; mechanical forces; molecular spring constant; multiple-bond kinetics; neural cellular adhesion molecule; single-molecule pulling experiments; Adhesives; Atom lasers; Atomic beams; Atomic force microscopy; Bonding forces; Frequency; Kinetic theory; Laser modes; Maximum likelihood estimation; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2005. Proceedings of the 2005
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-9098-9
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2005.1470475
  • Filename
    1470475