Topic outline
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General
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Lectures n. 22 and 23 and 24, wed 16 and fri 18 of may 2018 and monday 21st of may 2018
Gillespie' algorithm is a stochastic simulation algorithm, based on a montecarlo procedure that
is currently used in systems biology to numerically simulate kinetic master-equations.
Kinetic deterministic rate equations are the model for chemical kinetics in large volumes, whereas SME are the
probabilistic models for chemical reactivity in confined volumes where fluctuations cannot be neglected.
The Michaelis-Menten approximation for the rate equations of enzymic catalysis has been the
main theoretical approach in vitro. In vivo stochastic effects play a role and the Gillespie algorithm is the natural extension
of the classic MM approach.
Rate equations for the rapid equilibrium model (PBoC 15.2.6)
Michaelis-Menten Kinetics of enzymatic catalysis (Proc 15.2.7)
Reverse Michaelis-Menten (Fabrini2011, Tang2015)
List of computational tools for chemical kinetic (Deterministic and Stochastic Simulations)
COPASI (copasi.org)
StochPy (Marleeveld2013)
You can download the programming tools here below from Sapienza with your INFOSTUD ID
(https://campus3.uniroma1.it/campus/indexlogin.php)
in particular: Mathematica & Matlab.
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Find here Gillespie's papers and readings for the MM kinetics Both direct and reverse (in crowded environments)
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