ABSTRACT

A model basically represents a system or an object under study, or may be an idea which might represent the system. Simulation actually represents the operation of the model which mimics the system as a whole. A model can be treated as an alternative way to realize the system which might be impractical or too expensive to perform in real for the studies. From this model, the system can be built and simulated to study its operation and behaviour. This is the primary reason for an extensive use of simulation in every scientific research in studying a system for its behaviour in different circumstances (Durairaj et al. 2012; Miller et al. 2012). Modelling and simulation mainly focuses on collecting information about the system under study and building a computational model of that system, which helps in analysing the system. Analysis can easily be done once we have built the model and its dependencies across different elements without actually building the whole system and thus the real system can be studied through simulation by taking all the parameters into consideration (Durairaj et al. 2012). Systems biology, as a field of study, is the computational and

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