TROJÁK, Matej, David ŠAFRÁNEK, Samuel PASTVA and Luboš BRIM. Rule-based Modelling of Biological Systems Using Regulated Rewriting. Biosystems. Elsevier, 2023, vol. 225, No 104843, p. 1-15. ISSN 0303-2647. Available from: https://dx.doi.org/10.1016/j.biosystems.2023.104843.
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Basic information
Original name Rule-based Modelling of Biological Systems Using Regulated Rewriting
Authors TROJÁK, Matej (703 Slovakia, belonging to the institution), David ŠAFRÁNEK (203 Czech Republic, belonging to the institution), Samuel PASTVA (703 Slovakia, belonging to the institution) and Luboš BRIM (203 Czech Republic, belonging to the institution).
Edition Biosystems, Elsevier, 2023, 0303-2647.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.600 in 2022
RIV identification code RIV/00216224:14330/23:00134056
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1016/j.biosystems.2023.104843
UT WoS 000933884300001
Keywords in English systems biology; rule-based modelling; regulations; multiset rewriting
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 8/4/2024 10:08.
Abstract
In systems biology, models play a crucial role in understanding studied systems. There are many modelling approaches, among which rewriting systems provide a framework for describing systems on a mechanistic level. Describing biochemical processes often requires incorporating knowledge on an abstract level to simplify the system description or substitute the missing details. For this purpose, we present regulation mechanisms, an extension of this formalism with additional controls on the rewriting process. We introduce several regulation mechanisms and apply them to a rule-based language, a notation suitable for modelling biological phenomena. Finally, we demonstrate the usage of such regulations on several case studies from the biochemical domain.
Links
GA22-10845S, research and development projectName: Studium role polyhydroxyalkanoátů u bakterie Schlegelella thermodepolymerans – slibného bakteriálního kandidáta pro biotechnologie nové generace (Acronym: PHAST)
Investor: Czech Science Foundation, Unraveling the role of polyhydroxyalkanoates in Schlegelella thermodepolymerans – promising environmental bacterium for next generation biotechnology
MUNI/G/1771/2020, interní kód MUName: Computational reconstruction of mechanistic framework underlying receptor tyrosine kinase function in signal transduction (Acronym: FGFSIGMOD)
Investor: Masaryk University, INTERDISCIPLINARY - Interdisciplinary research projects
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