• Je něco špatně v tomto záznamu ?

Morphogenetic systems: Models and experiments

V. Smolka, J. Drastík, J. Bradík, M. Garzon, P. Sosík

. 2020 ; 198 (-) : 104270. [pub] 20201007

Jazyk angličtina Země Irsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc21026359

M systems are mathematical models of morphogenesis developed to gain insights into its relations to phenomena such as self-assembly, self-controlled growth, homeostasis, self-healing and self-reproduction, in both natural and artificial systems. M systems rely on basic principles of membrane computing and self-assembly, as well as explicit emphasis on geometrical structures (location and shape) in 2D, 3D or higher dimensional Euclidean spaces. They can be used for principled studies of these phenomena, both theoretically and experimentally, at a computational level abstracted from their detailed implementation. In particular, they afford 2D and 3D models to explore biological morphogenetic processes. Theoretical studies have shown that M systems are powerful tools (e.g., computational universal, i.e. can become as complex as any computer program) and their parallelism allows for trading space for time in solving efficiently problems considered infeasible on conventional computers (NP-hard problems). In addition, they can also exhibit properties such as robustness to injuries and degrees of self-healing. This paper focuses on the experimental side of M systems. To this end, we have developed a high-level morphogenetic simulator, Cytos, to implement and visualize M systems in silico in order to verify theoretical results and facilitate research in M systems. We summarize the software package and make a brief comparison with some other simulators of membrane systems. The core of the article is a description of a range of experiments inspired by aspects of morphogenesis in both prokaryotic and eukaryotic cells. The experiments explore the regulatory role of the septum and of the cytoskeleton in cell fission, the robustness of cell models against injuries, and, finally, the impact of changing nutrient concentration on population growth.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc21026359
003      
CZ-PrNML
005      
20211026132949.0
007      
ta
008      
211013s2020 ie f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.biosystems.2020.104270 $2 doi
035    __
$a (PubMed)33038464
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ie
100    1_
$a Smolka, Vladimír $u Research Institute of the IT4Innovations Centre of Excellence, Faculty of Philosophy and Science, Silesian University in Opava, Czech Republic
245    10
$a Morphogenetic systems: Models and experiments / $c V. Smolka, J. Drastík, J. Bradík, M. Garzon, P. Sosík
520    9_
$a M systems are mathematical models of morphogenesis developed to gain insights into its relations to phenomena such as self-assembly, self-controlled growth, homeostasis, self-healing and self-reproduction, in both natural and artificial systems. M systems rely on basic principles of membrane computing and self-assembly, as well as explicit emphasis on geometrical structures (location and shape) in 2D, 3D or higher dimensional Euclidean spaces. They can be used for principled studies of these phenomena, both theoretically and experimentally, at a computational level abstracted from their detailed implementation. In particular, they afford 2D and 3D models to explore biological morphogenetic processes. Theoretical studies have shown that M systems are powerful tools (e.g., computational universal, i.e. can become as complex as any computer program) and their parallelism allows for trading space for time in solving efficiently problems considered infeasible on conventional computers (NP-hard problems). In addition, they can also exhibit properties such as robustness to injuries and degrees of self-healing. This paper focuses on the experimental side of M systems. To this end, we have developed a high-level morphogenetic simulator, Cytos, to implement and visualize M systems in silico in order to verify theoretical results and facilitate research in M systems. We summarize the software package and make a brief comparison with some other simulators of membrane systems. The core of the article is a description of a range of experiments inspired by aspects of morphogenesis in both prokaryotic and eukaryotic cells. The experiments explore the regulatory role of the septum and of the cytoskeleton in cell fission, the robustness of cell models against injuries, and, finally, the impact of changing nutrient concentration on population growth.
650    12
$a algoritmy $7 D000465
650    _2
$a buněčné dělení $7 D002455
650    _2
$a výpočetní biologie $x metody $7 D019295
650    _2
$a počítačová simulace $7 D003198
650    _2
$a cytoskelet $x metabolismus $7 D003599
650    _2
$a eukaryotické buňky $x cytologie $x metabolismus $7 D005057
650    12
$a teoretické modely $7 D008962
650    12
$a morfogeneze $7 D009024
650    _2
$a prokaryotické buňky $x cytologie $x metabolismus $7 D011387
650    12
$a software $7 D012984
655    _2
$a časopisecké články $7 D016428
700    1_
$a Drastík, Jan $u Research Institute of the IT4Innovations Centre of Excellence, Faculty of Philosophy and Science, Silesian University in Opava, Czech Republic
700    1_
$a Bradík, Jaroslav $u Research Institute of the IT4Innovations Centre of Excellence, Faculty of Philosophy and Science, Silesian University in Opava, Czech Republic
700    1_
$a Garzon, Max $u Computer Science, The University of Memphis, TN, USA. Electronic address: mgarzon@memphis.edu
700    1_
$a Sosík, Petr $u Research Institute of the IT4Innovations Centre of Excellence, Faculty of Philosophy and Science, Silesian University in Opava, Czech Republic. Electronic address: petr.sosik@fpf.slu.cz
773    0_
$w MED00000785 $t Bio Systems $x 1872-8324 $g Roč. 198, č. - (2020), s. 104270
856    41
$u https://pubmed.ncbi.nlm.nih.gov/33038464 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20211013 $b ABA008
991    __
$a 20211026132955 $b ABA008
999    __
$a ok $b bmc $g 1715161 $s 1146866
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 198 $c - $d 104270 $e 20201007 $i 1872-8324 $m Biosystems $n Biosystems $x MED00000785
LZP    __
$a Pubmed-20211013

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...