Model Checking Approach to the Analysis of Biological Systems

Author(s):  
Nikola Beneš ◽  
Luboš Brim ◽  
Samuel Pastva ◽  
David Šafránek
Author(s):  
Radu Mardare ◽  
Corrado Priami ◽  
Paola Quaglia ◽  
Oleksandr Vagin

Author(s):  
Luboš Brim ◽  
Milan Češka ◽  
David Šafránek

Biosystems ◽  
2016 ◽  
Vol 149 ◽  
pp. 50-58 ◽  
Author(s):  
Alexander Andreychenko ◽  
Morgan Magnin ◽  
Katsumi Inoue

Author(s):  
Sumit K. Jha ◽  
Edmund M. Clarke ◽  
Christopher J. Langmead ◽  
Axel Legay ◽  
André Platzer ◽  
...  

2012 ◽  
Vol 419 ◽  
pp. 2-16 ◽  
Author(s):  
Roberto Barbuti ◽  
Francesca Levi ◽  
Paolo Milazzo ◽  
Guido Scatena

Author(s):  
Alexandre David ◽  
Kim G. Larsen ◽  
Axel Legay ◽  
Marius Mikučionis ◽  
Danny Bøgsted Poulsen ◽  
...  

2014 ◽  
Vol 22 (03) ◽  
pp. 463-493 ◽  
Author(s):  
FEI LIU ◽  
MONIKA HEINER ◽  
MING YANG

Colored Petri nets allow compact, parameterizable and scalable representations of large-scale biological models by encoding, e.g., species as colored tokens, and offer a variety of analysis techniques, e.g., structural analysis, simulation and model checking to analyze biological models. However, so far colored Petri nets have not been widely used and well explored in systems biology. In this paper, we aim to present a systematic approach to modeling and analyzing complex biological systems using colored Petri nets in order to help biologists to easily use them. We first describe a framework comprising a family of related colored Petri nets: colored qualitative Petri net (𝒬𝒫𝒩𝒞), colored stochastic Petri net (𝒮𝒫𝒩𝒞) and colored continuous Petri net (𝒞𝒫𝒩𝒞). They share structure, but are specialized by their kinetic information. Based on this framework, we present our colored Petri net approach to modeling and analyzing complex biological systems. First a biological system is modeled as a hierarchical 𝒬𝒫𝒩𝒞model, animated and analyzed by structural analysis; then it is converted into a 𝒮𝒫𝒩𝒞or 𝒞𝒫𝒩𝒞model, to be further analyzed using stochastic or continuous simulation, and simulative or numerical model checking. We demonstrate this approach using a nontrivial example, Caenorhabditis elegans vulval development.


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