S-Space College of Medicine/School of Medicine (의과대학/대학원) Immunology (면역학전공) Journal Papers (저널논문_면역학전공)
A hybrid systems framework for cellular processes
- Cho, K. H.; Johansson, K. H.; Wolkenhauer, O.
- Issue Date
- Biosystems. 2005 Jun;80(3):273-82. Epub 2005 Jan 15.
- Algorithms; Animals; Cell Differentiation; Computational Biology/*methods; Computers; *Cytology; Humans; MAP Kinase Signaling System; Macromolecular Substances; Models, Biological; Models, Statistical; Models, Theoretical; Protein Structure, Tertiary; Signal Transduction; Software; Systems Biology; Systems Theory; Time Factors
- 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.
- 0303-2647 (Print)
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