… can suppress tumor growth, and (3) model how genomic variants can augment the effect of
… discrete dynamic models can be used to facilitate many of the goals of systems pharmacology…

… Boolean networks, originally described by Kauffman in 1969, are the simplest type of discrete
dynamic models [10]. Nodes occupy a state of either 1 or 0, which indicates whether the …

… such dialogue by introducing systems modeling concepts to pharmacometricians and … and
systems scientists (Part II), and providing detailed examples of systems pharmacology models …

… However, a dynamic model integrating multiple feedback loops to adequately capture the …
is the reason why the model exhibited convergence to two discrete steady states in response …

… 2, we will first present and describe the fast-rising fields of systems medicine and systems
pharmacology. We will focus in Sect. 3 on the new tools that were developed to acquire and …

… dynamical models,(iii) the first repository for qualitative … discrete dynamical system and
identifies all stable states of the network. Then, it is converted into a continuous dynamical system …

… models, in which complex signaling networks triggered by biosignals from drug-target binding
can be lumped into reduced systems models that … (PBPK) and dynamical models, in which …

… All of this is done with respect to the dynamic signatures in the model. As in Chapter 4, readers
… dynamics models Ā our major focus in this book. Deterministic system dynamics models …

… The first step in turning the concepts from literature into a discrete dynamic model is to
represent the conceptual model as a directed graph showing the different nodes and the …

… models, originally introduced by Kauffman [26,27], represent the simplest discrete dynamic
models… In the current study, we present a Systems Pharmacology (SP) network model for IBD …