Article,

Systems analysis of cellular networks under uncertainty

, , and .
FEBS Letters, 583 (24): 3923 - 3930 (2009)Systems Biology - Nobel Symposium 146.
DOI: https://doi.org/10.1016/j.febslet.2009.10.074

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.

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