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FEBS Lett. 2009 Dec 17;583(24):3923-30. doi: 10.1016/j.febslet.2009.10.074.

Systems analysis of cellular networks under uncertainty.

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1
Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

Abstract

Besides the often-quoted complexity of cellular networks, the prevalence of uncertainties about components, interactions, and their quantitative features provides a largely underestimated hallmark of current systems biology. This uncertainty impedes the development of mechanistic mathematical models to achieve a true systems-level understanding. However, there is increasing evidence that theoretical approaches from diverse scientific domains can extract relevant biological knowledge efficiently, even from poorly characterized biological systems. As a common denominator, the methods focus on structural, rather than more detailed, kinetic network properties. A deeper understanding, better scaling, and the ability to combine the approaches pose formidable challenges for future theory developments.

PMID:
19879267
DOI:
10.1016/j.febslet.2009.10.074
[Indexed for MEDLINE]
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