Model Checking Approach to the Analysis of Biological Systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00107592" target="_blank" >RIV/00216224:14330/19:00107592 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-030-17297-8_1" target="_blank" >http://dx.doi.org/10.1007/978-3-030-17297-8_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-17297-8_1" target="_blank" >10.1007/978-3-030-17297-8_1</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Model Checking Approach to the Analysis of Biological Systems
Popis výsledku v původním jazyce
Formal verification techniques together with other computer science formal methods have been recently tailored for applications to biological and biomedical systems. In contrast to traditional simulation-based approaches, model checking opens an entirely novel way of viewing and analysing the dynamics of such systems. In particular, it can help in system identification and parameter synthesis, in comparison of models with respect to a priori given desired properties, in robustness analysis of systems, in relating models to experimental data, or in globally analysing the bifurcations of systems behaviour with respect to changes in parameters. In this review, we briefly describe the state-of-the-art methods and techniques employing model checking, as one of the most prominent verification techniques, to the analysis of biomedical systems. We demonstrate some of the advantages of using the model checking method by presenting a brief account of the technique itself followed by examples of the application of formal methods based on model checking to three areas related to the analysis of biomedical systems: verification of biological hypotheses, parameters synthesis, and bifurcation analysis. Finally, we discuss several case studies that show how fruitfully the methods can be utilised within the computational systems biology and biomedicine domain.
Název v anglickém jazyce
Model Checking Approach to the Analysis of Biological Systems
Popis výsledku anglicky
Formal verification techniques together with other computer science formal methods have been recently tailored for applications to biological and biomedical systems. In contrast to traditional simulation-based approaches, model checking opens an entirely novel way of viewing and analysing the dynamics of such systems. In particular, it can help in system identification and parameter synthesis, in comparison of models with respect to a priori given desired properties, in robustness analysis of systems, in relating models to experimental data, or in globally analysing the bifurcations of systems behaviour with respect to changes in parameters. In this review, we briefly describe the state-of-the-art methods and techniques employing model checking, as one of the most prominent verification techniques, to the analysis of biomedical systems. We demonstrate some of the advantages of using the model checking method by presenting a brief account of the technique itself followed by examples of the application of formal methods based on model checking to three areas related to the analysis of biomedical systems: verification of biological hypotheses, parameters synthesis, and bifurcation analysis. Finally, we discuss several case studies that show how fruitfully the methods can be utilised within the computational systems biology and biomedicine domain.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10600 - Biological sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/GA18-00178S" target="_blank" >GA18-00178S: Diskrétní bifurkační analýza reaktivních systémů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Automated Reasoning for Systems Biology and Medicine
ISBN
9783030172961
Počet stran výsledku
33
Strana od-do
3-35
Počet stran knihy
474
Název nakladatele
Springer, Cham
Místo vydání
Cham
Kód UT WoS kapitoly
000503198000001