In this paper we give an overview on the equilibrium properties of a large class of stochastic processes describing the fundamental biological process within  cells, {\em the production process of proteins}. Stochastic models classically used in this context  are presented and discussed. An extension of these models, which includes in particular elongation phases of mRNAs and proteins, is introduced. The distribution of the equilibrium of this extended model is analyzed . Explicit expressions are obtained for the first two moments of the number of mRNAs and proteins at equilibrium  generalizing some classical formulas. A representation of the distribution of the number of proteins and mRNAs at equilibrium is also obtained. The results rely on the representation of the process as a functional of a Poisson process in an extended state space. Classical approximations of the biological literature for the equilibrium distribution of the number of proteins are discussed and investigated in the light of these results. In particular, several convergence results for the distribution of the number of proteins at equilibrium are  obtained under different scaling assumptions.
In this paper we analyze the equilibrium properties of a large class of stochastic processes describing the fundamental biological process within bacterial cells, {\em the production process of proteins}. Stochastic models classically used in this context to describe the time evolution of the numbers of mRNAs and proteins are presented and discussed. An extension of these models, which includes elongation phases of mRNAs and proteins, is introduced. A convergence result to equilibrium for the process associated to the number of proteins and mRNAs is proved and a representation of this equilibrium as a functional of a Poisson process in an extended state space is obtained . Explicit expressions for the first two moments of the number of mRNAs and proteins at equilibrium are derived, generalizing some classical formulas. Approximations used in the biological literature for the equilibrium distribution of the number of proteins are discussed and investigated in the light of these results. Several convergence results for the distribution of the number of proteins at equilibrium are in particular obtained under different scaling assumptions.
R
give an overview on
analyze
A
bacterial
A
to describe the time evolution of the numbers of mRNAs and proteins
D
in particular
R
The distribution of the equilibrium of this extended model is analyzed
A convergence result to equilibrium for the process associated to the number of proteins and mRNAs is proved and a representation of this equilibrium as a functional of a Poisson process in an extended state space is obtained
D
are obtained
A
are derived,
R
A representation of the distribution of the number of proteins and mRNAs at equilibrium is also obtained. The results rely on the representation of the process as a functional of a Poisson process in an extended state space. Classical approximations of
Approximations used in
R
In particular, several
Several
A
in particular