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Statements

Subject Item
n2:RIV%2F60076658%3A12520%2F11%3A43884048%21RIV13-MSM-12520___
rdf:type
n3:Vysledek skos:Concept
dcterms:description
Monolayer of living cells time development is the closest approximation to organ development and function. It inspired the computational approach of cellular automata and agent-based modeling. Yet, for living cell description this approach is seldom utilized. In this paper we address reasons why biochemical /molecular biology approach is so much more popular. We present the formal structure of stochastic systems theory for formal description of the cell culture experiment. We define phenomenological attributes of cell monolayer system as cells states assigned by the operator. As system variables we consider levels of metabolic fluxes in cell compartments and between them and states of intracellular signals. For the behavior of system variables we consider that of stable orbits in the state space which arise from movement in the confined intracellular space combined with chemical reactions. Recent theoretical studies indicate also that formation and maintenance of cell shapes may arise by similar mechanism. Bio-inspired computing has been a holy grail of computational theory since its eve. Recent developments in biological systems description open a question what is really meant by this term, how much the neural networks are related to neuron and cellular automata to cells. We address in this paper also the issue of reality of bio-inspired computing in production of adequate models and/or integration of living cell elements in the computational process. Monolayer of living cells time development is the closest approximation to organ development and function. It inspired the computational approach of cellular automata and agent-based modeling. Yet, for living cell description this approach is seldom utilized. In this paper we address reasons why biochemical /molecular biology approach is so much more popular. We present the formal structure of stochastic systems theory for formal description of the cell culture experiment. We define phenomenological attributes of cell monolayer system as cells states assigned by the operator. As system variables we consider levels of metabolic fluxes in cell compartments and between them and states of intracellular signals. For the behavior of system variables we consider that of stable orbits in the state space which arise from movement in the confined intracellular space combined with chemical reactions. Recent theoretical studies indicate also that formation and maintenance of cell shapes may arise by similar mechanism. Bio-inspired computing has been a holy grail of computational theory since its eve. Recent developments in biological systems description open a question what is really meant by this term, how much the neural networks are related to neuron and cellular automata to cells. We address in this paper also the issue of reality of bio-inspired computing in production of adequate models and/or integration of living cell elements in the computational process.
dcterms:title
Decomposition of cellular systems via causal relations Decomposition of cellular systems via causal relations
skos:prefLabel
Decomposition of cellular systems via causal relations Decomposition of cellular systems via causal relations
skos:notation
RIV/60076658:12520/11:43884048!RIV13-MSM-12520___
n3:predkladatel
n4:orjk%3A12520
n5:aktivita
n15:Z n15:S n15:P
n5:aktivity
P(ED2.1.00/01.0024), S, Z(MSM6007665808)
n5:cisloPeriodika
Neuvedeno
n5:dodaniDat
n10:2013
n5:domaciTvurceVysledku
n18:6003524 n18:4221788
n5:druhVysledku
n19:J
n5:duvernostUdaju
n14:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
193063
n5:idVysledku
RIV/60076658:12520/11:43884048
n5:jazykVysledku
n20:eng
n5:klicovaSlova
relations; causal; via; systems; cellular; Decomposition
n5:klicoveSlovo
n6:Decomposition n6:via n6:cellular n6:relations n6:causal n6:systems
n5:kodStatuVydavatele
CZ - Česká republika
n5:kontrolniKodProRIV
[3D4D4E62AC29]
n5:nazevZdroje
Materials Structure
n5:obor
n13:BO
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
3
n5:projekt
n17:ED2.1.00%2F01.0024
n5:rokUplatneniVysledku
n10:2011
n5:svazekPeriodika
18
n5:tvurceVysledku
Štys, Dalibor Urban, Jan Levitner, T.
n5:zamer
n8:MSM6007665808
s:issn
1211-5894
s:numberOfPages
7
n12:organizacniJednotka
12520