Abstract
Numerical simulations of the stochastic time evolution of biospecific interactions are described and show that when molecular populations are large, time course predictions match those obtained using a deterministic expression. When population size is decreased the effects of stochastic noise become apparent. The significance of stochastic noise in sensitive binding-based assay systems suggests an immediate need for models of this type.
Similar content being viewed by others
References
Chase HA (1984) Prediction of the performance of preparative affinity chromatography. J. Chromatogr. 297: 179–202.
Doraiswamy LK, Kulkani BD (1987) The Analysis of Chemically Reacting Systems: A Stochastic Approach. New York: Gordon and Breach Science Publishers.
Gillespie DT (1976) A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. J. Comp. Phys. 22: 403–434.
McLeod AS, Gladden LF (1999) The influence of the random sequential adsorption of binary mixtures on the kinetics of hydrocarbon hydrogenation reactions. J. Chem. Phys. 110: 4000–4008.
Steinfeld JI, Francisco JS, Hase WL (1999) Chemical Kinetics and Dynamics, 2nd edn. New Jersey: Prentice Hall.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Hubble, J. Monte Carlo simulation of biospecific interactions. Biotechnology Letters 22, 1483–1486 (2000). https://doi.org/10.1023/A:1005684225609
Issue Date:
DOI: https://doi.org/10.1023/A:1005684225609