DEMKO, Martin, Nikola BENEŠ, Luboš BRIM, Samuel PASTVA and David ŠAFRÁNEK. High-Performance Symbolic Parameter Synthesis of Biological Models: A Case Study. In Ezio Bartocci et al. Computational Methods in Systems Biology. CMSB 2016. LNBI 9859. Neuveden: Springer International Publishing, 2016, p. 82-97. ISBN 978-3-319-45176-3. Available from: https://dx.doi.org/10.1007/978-3-319-45177-0_6.
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Basic information
Original name High-Performance Symbolic Parameter Synthesis of Biological Models: A Case Study
Authors DEMKO, Martin (703 Slovakia, belonging to the institution), Nikola BENEŠ (203 Czech Republic, belonging to the institution), Luboš BRIM (703 Slovakia, belonging to the institution), Samuel PASTVA (703 Slovakia, belonging to the institution) and David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution).
Edition LNBI 9859. Neuveden, Computational Methods in Systems Biology. CMSB 2016. p. 82-97, 16 pp. 2016.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/16:00088099
Organization unit Faculty of Informatics
ISBN 978-3-319-45176-3
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-45177-0_6
UT WoS 000460685100006
Keywords in English model checking; systems biology; Computational Tree Logic; dynamical systems; distributed algorithms
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2020 19:15.
Abstract
Complex behaviour arising in biological systems is described by highly parameterised dynamical models. Most of the parameters are mutually dependent and therefore it is hard and computationally demanding to find admissible parameter values with respect to hypothesised constraints and wet-lab measurements. Recently, we have developed several high-performance techniques for parameter synthesis that are based on parallel coloured model checking. These methods allow to obtain parameter values that guarantee satisfaction of a given set of dynamical properties and parameter constraints. In this paper, we review the applicability of our techniques in the context of biological systems. In particular, we provide an extended analysis of a genetic switch controlling the regulation in mammalian cell cycle phase transition and a synthetic pathway for biodegradation of a toxic pollutant in E. coli.
Links
GA15-11089S, research and development projectName: Získávání parametrů biologických modelů pomocí techniky ověřování modelů
Investor: Czech Science Foundation
LM2015055, research and development projectName: Centrum pro systémovou biologii (Acronym: C4SYS)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0945/2015, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A
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