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
Link To Document :
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