The process of analysing metabolic pathways mathematically in systems biology requires accurate parameters
which represent the simulated in-vivo processes. Differential Evolution algorithm (DE) has been provenable to
outperform other estimation algorithms, and has been used to achieve an accurate estimation of the required parameters.
The total number of DE-variants has increased recently, which makes researchers face difficulties in obtaining complete
overview of current DE-variants. To provide a holistic view to the area of mathematical modelling in System Biology,
through this paper, we present an overview of modelling methods, parameter estimation by utilizing DE-variants to
analyse metabolic pathways, and exiting pathway simulation software.