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: A method for the generation of standardized qualitative dynamical systems of regulatory networks | Theoretical Biology and Medical Modelling BioMed Central Research Open Access A method for the generation of standardized qualitative dynamical systems of regulatory networks Luis Mendoza and loannis Xenarios Address Serono Pharmaceutical Research Institute 14 Chemin des Aulx 1228 Plan-les-Ouates Geneva Switzerland Email Luis Mendoza - Ioannis Xenarios - Corresponding author Published 16 March 2006 Received 12 December 2005 Theoretical Biology and Medical Modelling2006 3 13 doi l742-4682-3-l3 Accepted 16 March 2006 This article is available from http content 3 l 13 2006Mendoza and Xenarios licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Modeling of molecular networks is necessary to understand their dynamical properties. While a wealth of information on molecular connectivity is available there are still relatively few data regarding the precise stoichiometry and kinetics of the biochemical reactions underlying most molecular networks. This imbalance has limited the development of dynamical models of biological networks to a small number of well-characterized systems. To overcome this problem we wanted to develop a methodology that would systematically create dynamical models of regulatory networks where the flow of information is known but the biochemical reactions are not. There are already diverse methodologies for modeling regulatory networks but we aimed to create a method that could be completely standardized . independent of the network under study so as to use it systematically. Results We developed a set of equations that can be used to translate the graph of any regulatory network into a continuous dynamical system.
