Abstract
System biology provides systems level comprehension of biological systems. Biological systems are complex and stochastic at the molecular level. In the context of a cellular system, biological systems are composed of networks wherein molecular species such as genes, proteins and metabolites interact to form various types of networks such as metabolic networks, transcription networks, gene regulatory networks, signal transduction networks, protein-protein interaction networks, protein domain networks and phylogenetic networks. The biological components of a particular network also form a part of another network/system and it is these dynamic interactions that make the demarcation of networks highly difficult. Networks are based on certain design principles that work to maintain the system robustness and structure. Signalling networks, for example, have several feed forward and feedback control loops that are designed to control the system and the various perturbations that is subjected to. Systems biology therefore deals with complicated systems and hence it becomes essential to understand the complex topological properties and dynamic behaviour of each of the components in the system. Once the system under study is well understood, the development of synthetic systems and drugs to control the system or its components becomes relatively easy.
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Naqvi, A.A.T., Hassan, M.I. (2016). Design, Principles, Network Architecture and Their Analysis Strategies as Applied to Biological Systems. In: Singh, S. (eds) Systems Biology Application in Synthetic Biology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2809-7_3
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DOI: https://doi.org/10.1007/978-81-322-2809-7_3
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