title: A general probabilistic model of the PCR process.
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.
authors.affiliation: Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA.
authors.forename: Nilanjan
authors.initials: N
authors.lastname: Saha
authors.forename: Layne T
authors.initials: LT
authors.lastname: Watson
authors.forename: Karen
authors.initials: K
authors.lastname: Kafadar
authors.forename: Alexey
authors.initials: A
authors.lastname: Onufriev
authors.forename: Naren
authors.initials: N
authors.lastname: Ramakrishnan
authors.forename: Cecilia
authors.initials: C
authors.lastname: Vasquez-Robinet
authors.forename: Jonathan
authors.initials: J
authors.lastname: Watkinson