TAILIEUCHUNG - Báo cáo y học: "Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling . | Gutierrez et al. Theoretical Biology and Medical Modelling 2010 7 7 http content 7 1 7 THEORETICAL BIOLOGY AND MEDICAL MODELLING RESEARCH Open Access Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling network in different regions of biochemical reaction space Jayson Gutierrez1 3 Georges St Laurent III2 3 Silvio Urcuqui-Inchima3 Correspondence jayson. gutierrez@ 1Grupo de Física y Astrofísica Computacional FACom Instituto de Física Universidad de Antioquia Medellin Colombia 2 BioMed Central Abstract Background Signal transduction networks represent the information processing systems that dictate which dynamical regimes of biochemical activity can be accessible to a cell under certain circumstances. One of the major concerns in molecular systems biology is centered on the elucidation of the robustness properties and information processing capabilities of signal transduction networks. Achieving this goal requires the establishment of causal relations between the design principle of biochemical reaction systems and their emergent dynamical behaviors. Methods In this study efforts were focused in the construction of a relatively well informed deterministic non-linear dynamic model accounting for reaction mechanisms grounded on standard mass action and Hill saturation kinetics of the canonical reaction topology underlying Toll-like receptor 4 TLR4 -mediated signaling events. This signaling mechanism has been shown to be deployed in macrophages during a relatively short time window in response to lypopolysaccharyde LPS stimulation which leads to a rapidly mounted innate immune response. An extensive computational exploration of the biochemical reaction space inhabited by this signal transduction network was performed via local and global perturbation strategies. Importantly a broad spectrum of biologically plausible dynamical regimes accessible to the network in widely scattered regions of parameter space

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