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To support successful service outcomes, this requires a very different set of behaviors and processes to those prevalent in the traditional arcane and transactional approach of systems engineering or physical asset management.
Many groups hypothesize that the integrative approach of systems biology will successfully link genomic measurements with clinical applications (Atkinson and Lyster, 2010; Berg et al., 2010; Hopkins, 2007).
Our combined approach of systems biology, computational biology, and in vivo cell biology provides a generalizable paradigm for exploiting genomic data to advance our understanding of cell biological processes.
Metabolic modelling is a modern approach of systems biology that, among several other applications, has been extensively exerted to predict gene essentiality in various bacteria including a number of pathogenic species [ 8].
Model-based drug discovery and development has been increasingly utilized to address this challenge; in recent years, the multidisciplinary approach of systems pharmacology that combines systems biology with pharmacokinetic/pharmacodynamic (PK/PD) modeling principles has progressively drawn attention in the pharmaceutical industry.
The accumulation of data from different origins and the development of methods and software to mine that data create an opportunity to bridge the gap between the fragmentary view of genes and proteins and the more integrated approach of Systems Biology.
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The approach of system dynamics was created and developed in the late 1950s by a group of researchers led by Forrester at the Massachusetts Institute of Technology MITT), Cambridge, MA [Forrester (1961)].
"The tools, techniques, and approaches of systems biology are becoming standard in research and industry," he says.
Metabolomics is one of the key approaches of systems biology that consists of studying biochemical networks having a set of metabolites, enzymes, reactions and their interactions.
In this work we want to tackle this problem from the perspectives and approaches of systems biology, which have been shown to be effective in the case of complex systems.
A feasible strategy is therefore to employ computational approaches of systems biology and metabolic engineering.
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