About implementing a Monte Carlo simulation algorithm for enzymatic reactions in crowded media
Author(s) -
Adriana Isvoran,
E. Vilaseca,
Fernano Ortega,
Marta Cascante,
Francesc Mas
Publication year - 2006
Publication title -
journal of the serbian chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.227
H-Index - 45
eISSN - 1820-7421
pISSN - 0352-5139
DOI - 10.2298/jsc0601075i
Subject(s) - monte carlo method , statistical physics , fractal , kinetic monte carlo , lattice (music) , dynamic monte carlo method , reaction rate , obstacle , biological system , algorithm , computer science , chemistry , physics , mathematics , statistics , mathematical analysis , biochemistry , political science , acoustics , law , biology , catalysis
In this paper, several aspects of implementing a Monte Carlo simulation algorithm for studying the Michaelis-Menten mechanism of enzymatic reactions in crowded media are presented. Using a two dimensional lattice with obstacles, it is shown how the initial distribution of the reactants and obstacles on the lattice affects the values of the rate coefficients and the concentration of the reactants. The influ- ence of the number of considered nearest neighbours and of the obstacle concentra- tion on the values of the rate coefficients is also demonstrated. The results strongly suggest fractal kinetics for enzyme reactions in crowded media.
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