A hybrid systems framework for cellular processes.
With the availability of technologies that allow us to obtain stimulus-response time series data for modeling and system identification, there is going to be an increasing need for conceptual frameworks in which to formulate and test hypotheses about intra- and inter-cellular dynamics, in general and not just dependent on a particular cell line, cell type, organism, or technology. While the semantics can be quite different, biologists and systems scientists use in many cases a similar language (notion of feedback, regulation, etc.). A more abstract system-theoretic framework for signals, systems, and control could provide the biologist with an interface between the domains. Apart from recent examples to identify functional elements and describing them in engineering terms, there have been various more abstract developments to describe dynamics at the cell level in the past. This includes Rosen's (M,R)-systems. This paper presents an abstract and general compact mathematical framework of intracellular dynamics, regulation and regime switching inspired by (M,R)-theory and based on hybrid automata.
Cho
Kwang-Hyun
KH
College of Medicine, Seoul National University, Seoul 110-799, Korea. ckh-sb@snu.ac.kr
Johansson
Karl Henrik
KH
Wolkenhauer
Olaf
O
D000465:Algorithms; D000818:Animals; D003585:Cell Biology; D002454:Cell Differentiation; D019295:Computational Biology / Q000379:methods*; D003201:Computers; D006801:Humans; D020935:MAP Kinase Signaling System; D046911:Macromolecular Substances; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D017434:Protein Structure, Tertiary; D015398:Signal Transduction; D012984:Software; D049490:Systems Biology; D013598:Systems Theory; D013997:Time Factors
D046911:Macromolecular Substances