Discrete dynamic modeling of cellular signaling networks
Understanding signal transduction in cellular systems is a central issue in systems biology.
Numerous experiments from different laboratories generate an abundance of individual …
Numerous experiments from different laboratories generate an abundance of individual …
Discrete dynamic modeling of signal transduction networks
A Saadatpour, R Albert - Computational Modeling of Signaling Networks, 2012 - Springer
Newly available experimental data characterizing different processes involved in signaling
pathways have provided the opportunity for network analysis and modeling of these …
pathways have provided the opportunity for network analysis and modeling of these …
Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks
R Samaga, S Klamt - Cell communication and signaling, 2013 - Springer
A central goal of systems biology is the construction of predictive models of bio-molecular
networks. Cellular networks of moderate size have been modeled successfully in a …
networks. Cellular networks of moderate size have been modeled successfully in a …
Boolean modeling in systems biology: an overview of methodology and applications
Mathematical modeling of biological processes provides deep insights into complex cellular
systems. While quantitative and continuous models such as differential equations have been …
systems. While quantitative and continuous models such as differential equations have been …
Boolean modeling: a logic‐based dynamic approach for understanding signaling and regulatory networks and for making useful predictions
The biomolecules inside or near cells form a complex interacting system. Cellular
phenotypes and behaviors arise from the totality of interactions among the components of …
phenotypes and behaviors arise from the totality of interactions among the components of …
Signaling networks: Asynchronous boolean models
Signal transduction allows a cell to communicate with its surroundings. Many diseases such
as developmental disorders, autoimmunity, and cancer have been shown to arise from …
as developmental disorders, autoimmunity, and cancer have been shown to arise from …
Modeling the dynamic behavior of biochemical regulatory networks
Strategies for modeling the complex dynamical behavior of gene/protein regulatory networks
have evolved over the last 50 years as both the knowledge of these molecular control …
have evolved over the last 50 years as both the knowledge of these molecular control …
Boolean network models of cellular regulation: prospects and limitations
S Bornholdt - Journal of the Royal Society Interface, 2008 - royalsocietypublishing.org
Computer models are valuable tools towards an understanding of the cell's biochemical
regulatory machinery. Possible levels of description of such models range from modelling …
regulatory machinery. Possible levels of description of such models range from modelling …
Discrete dynamic modeling with asynchronous update, or how to model complex systems in the absence of quantitative information
SM Assmann, R Albert - Plant systems biology, 2009 - Springer
A major aim of systems biology is the study of the inter-relationships found within and
between large biological data sets. Here we describe one systems biology method, in which …
between large biological data sets. Here we describe one systems biology method, in which …
Odefy-from discrete to continuous models
Background Phenomenological information about regulatory interactions is frequently
available and can be readily converted to Boolean models. Fully quantitative models, on the …
available and can be readily converted to Boolean models. Fully quantitative models, on the …