• DocumentCode
    2735132
  • Title

    A general probabilistic model of the PCR process

  • Author

    Saha, Nilanjan ; Watson, Layne T. ; Kafadar, Karen ; Onufriev, Alexey ; Ramakrishnan, Naren ; Vasquez-Robinet, Cecilia ; Watkinson, Jonathan

  • Author_Institution
    Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    2813
  • Lastpage
    2816
  • Abstract
    This work describes a general probabilistic model for the PCR process; this model includes as a special case the Velikanov-Kapral model where all nucleotide reaction rates are the same. In this model the probability of binding of deoxynucleoside triphosphate (dNTP) molecules with template strands is derived from the microscopic chemical kinetics. A recursive solution for the probability distribution of binding of dNTPs is developed for a single cycle and is used to calculate expected yield for a multicycle PCR. The model is able to reproduce important features of the PCR amplification process quantitatively. This model also suggests that the amplification process itself is highly sensitive to initial concentrations and the reaction rates of addition to the template strand of each type of dNTP in the solution.
  • Keywords
    biochemistry; chemical reactions; enzymes; molecular biophysics; physiological models; probability; reaction kinetics; PCR process; Velikanov-Kapral model; deoxynucleoside triphosphate molecule binding; microscopic chemical kinetics; nucleotide reaction rates; probabilistic model; probability distribution; template strands; Biochemistry; Chemicals; DNA; Equations; In vitro; Kinetic theory; Physiology; Polymers; Probability distribution; Sequences; PCR; modeling; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403803
  • Filename
    1403803