Systems Biology is an approach in which experimental biology is closely-integrated with mathematical or computational modeling in a synergistic way to answer biological questions that would be not be possible by empirical approaches alone. One of the goals of systems biology is to discover new emergent properties that may arise from studying the system as a whole, leading to more rapid and deeper understanding of how the system is controlled and how it responds to external stimuli. This level of understanding will greatly facilitate the future of biological systems.
aims to develop hypotheses based on integrated, or modelled data.
The ability to produce genome scale data for virtually every molecule class of an organisms provided one of the pillars of System Biology.
A systems biology project may be performed at a number of different biological scales or it may integrate across scales.
The system biological cycles is composed of modeling and experimentation. Models should be both descriptive and predictive [Antezana et al. 2013].