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- Title
Systems analysis of cellular networks under uncertainty
- Authors
Kaltenbach, Hans-Michael; Dimopoulos, Sotiris; Stelling, Jörg
- Abstract
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.
- Subjects
SYSTEMS biology; UNCERTAINTY (Information theory); BIOLOGICAL systems; MATHEMATICAL models; CELLULAR signal transduction; CYTOLOGY
- Publication
FEBS Letters, 2009, Vol 583, Issue 24, p3923
- ISSN
0014-5793
- Publication type
Article
- DOI
10.1016/j.febslet.2009.10.074