Learning may be a continuous process from level to level from higher to highest & commitment itself is enough to realize this beliefs. The requirement and the urge to understand complex biological systems in an integrative way thus on accumulate in-depth knowledge of biological systems. For accomplishing this task we have a tendency to are in need of understanding biology at systems level. As systems biology aims at systems level understanding of biological systems to unravel the mysteries of cellular network whose approach typically involves the development of mechanistic models like the reconstruction of dynamic systems from quantitative properties of their elementary building blocks.
Systems biology has the flexibility to get, integrate and analyze advanced data from multiple experimental sources using interdisciplinary tools. For instance, a cellular network will be modeled mathematically using methods coming back from chemical kinetics and management theory because of giant range of parameters, variable and constraints in cellular networks, numerical & computational techniques are often used. Though systems are composed of matters, the essence of system lies in dynamics and it can not be described simply by enumerating elements of the systems. At the same time, it is misleading to believe that solely system structure, like network topologies, is important while not paying sufficient attention to diversities and functionalities of components. Both structure of the system and parts play indispensable role forming symbiotic state of the system as a whole.
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