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Mathematical models in microbial systems biology

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86232

Stelling,  J.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Zitation

Stelling, J. (2004). Mathematical models in microbial systems biology. Current Opinion in Microbiology, 7(5), 513-518. doi:10.1016/j.mib.2004.08.004.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-9EAB-5
Zusammenfassung
Systems biology aims at an understanding of the genotype–phenotype relations brought about by cellular networks. Mathematical models as formal representations are central for handling the associated complexity. Recently, model-based analysis of microorganisms has begun, for instance, to reveal functional modules in metabolic and transcriptional networks, to predict cellular behavior from genome-scale physicochemical constraints, and to suggest novel design principles for well-studied bacterial subsystems such as chemotaxis. Guided by common themes such as modularity, optimality and robustness, iterative model development promises further progress towards a system-level understanding. Copyright © 2014 Elsevier B.V. except certain content provided by third parties [accessed 2014 October 16]