Discrete logic modeling of cell signaling pathways
Cell signaling pathways often crosstalk generating complex biological behaviors observed
in different cellular contexts. Frequently, laboratory experiments focus on a few putative …
in different cellular contexts. Frequently, laboratory experiments focus on a few putative …
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 …
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 …
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 …
[HTML][HTML] Concepts in Boolean network modeling: What do they all mean?
Boolean network models are one of the simplest models to study complex dynamic behavior
in biological systems. They can be applied to unravel the mechanisms regulating the …
in biological systems. They can be applied to unravel the mechanisms regulating the …
Integration of Boolean models exemplified on hepatocyte signal transduction
R Schlatter, N Philippi, G Wangorsch… - Briefings in …, 2012 - academic.oup.com
The number of mathematical models for biological pathways is rapidly growing. In particular,
Boolean modelling proved to be suited to describe large cellular signalling networks …
Boolean modelling proved to be suited to describe large cellular signalling networks …
Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling
DM Wittmann, J Krumsiek, J Saez-Rodriguez… - BMC systems …, 2009 - Springer
Background The understanding of regulatory and signaling networks has long been a core
objective in Systems Biology. Knowledge about these networks is mainly of qualitative …
objective in Systems Biology. Knowledge about these networks is mainly of qualitative …
Boolean network simulations for life scientists
Modern life sciences research increasingly relies on computational solutions, from large
scale data analyses to theoretical modeling. Within the theoretical models Boolean networks …
scale data analyses to theoretical modeling. Within the theoretical models Boolean networks …
[HTML][HTML] Boolean modelling as a logic-based dynamic approach in systems medicine
Molecular mechanisms of health and disease are often represented as systems biology
diagrams, and the coverage of such representation constantly increases. These static …
diagrams, and the coverage of such representation constantly increases. These static …