TY - GEN
T1 - Bio-Stark
T2 - 22nd International Conference on Computational Methods in Systems Biology, CMSB 2024
AU - Castiglioni, Valentina
AU - Loreti, Michele
AU - Tini, Simone
PY - 2024/9/19
Y1 - 2024/9/19
N2 - We present Bio-Stark, an extension of Stark for the simulation and analysis of biological systems. Specifically, to simulate the stochastic, dynamical, behaviour of these systems, Bio-Stark exploits the core simulation model of Stark, the evolution sequence model, and it extends it by refining the discrete step modelling into a time point modelling. We show how Bio-Stark allows us to verify robustness properties in systems biology, by capturing the effects of (unpredictable) perturbations on species in biochemical networks, as well as on the oscillatory behaviour of gene regulatory networks.
AB - We present Bio-Stark, an extension of Stark for the simulation and analysis of biological systems. Specifically, to simulate the stochastic, dynamical, behaviour of these systems, Bio-Stark exploits the core simulation model of Stark, the evolution sequence model, and it extends it by refining the discrete step modelling into a time point modelling. We show how Bio-Stark allows us to verify robustness properties in systems biology, by capturing the effects of (unpredictable) perturbations on species in biochemical networks, as well as on the oscillatory behaviour of gene regulatory networks.
UR - http://www.scopus.com/inward/record.url?scp=85203549075&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-71671-3_5
DO - 10.1007/978-3-031-71671-3_5
M3 - Conference contribution
AN - SCOPUS:85203549075
SN - 978-3-031-71670-6
T3 - Lecture Notes in Computer Science (LNCS)
SP - 62
EP - 70
BT - Computational Methods in Systems Biology
A2 - Gori, Roberta
A2 - Milazzo, Paolo
A2 - Tribastone, Mirco
PB - Springer
CY - Cham
Y2 - 16 September 2024 through 18 September 2024
ER -