title: Systems analysis of cellular networks under uncertainty.
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.
authors.affiliation: Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
authors.forename: Hans-Michael
authors.initials: HM
authors.lastname: Kaltenbach
authors.forename: Sotiris
authors.initials: S
authors.lastname: Dimopoulos
authors.forename: Jörg
authors.initials: J
authors.lastname: Stelling
mesh_terms: D053858:Metabolic Networks and Pathways; D008956:Models, Chemical; D013597:Systems Analysis; D049490:Systems Biology