  Gene expression and its regulation is a nonequilibrium stochastic process.
Different molecules are involved in several biochemical steps in this process
with low copies. It is observed that the stochasticity in biochemical processes
is mainly due to the low copy number of the molecules present in the system.
Several studies also show that the nonequilibrium biochemical processes require
energy cost. But cellular system has developed itself through natural evolution
by minimizing energy cost for optimum output. Here we study the role of
stochasticity qualitatively in a network of two genes using stochastic
simulation method and approximately measure the energy consumption for the gene
expression process. We find that the noise in gene expression process reduces
the energy cost of protein synthesis. Therefore, we argued that the
stochasticity in gene expression may be a choice of cellular system for protein
synthesis with minimum energy cost.
