Mathematical models in microbial systems biology.

Jörg Stelling

doi:10.1016/j.mib.2004.08.004

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PubMed · 15451507

Mathematical models in microbial systems biology.

Jörg Stelling

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Abstract

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.

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Adaptation, Physiological Bacterial Physiological Phenomena Escherichia coli Gene Expression Regulation, Bacterial Models, Biological Saccharomyces cerevisiae Systems Biology Journal Article Review

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Jörg Stelling. 2004. Mathematical models in microbial systems biology.. https://doi.org/10.1016/j.mib.2004.08.004

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