Systems analysis of cellular networks under uncertainty

Hans-Michael Kaltenbach, Sotiris Dimopoulos, Jörg Stelling
2009 FEBS Letters  
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
more » ... 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.
doi:10.1016/j.febslet.2009.10.074 pmid:19879267 fatcat:w74siyswzjgxjicmc5sy7sacpu