TY - JOUR
T1 - 3D Cellular Automata-Based Model of Bacterial Biofilm Formation with Developed Surface Spreading Mechanism
AU - Maslovskaya, Anna G.
AU - Sarukhanian, Samvel K.
AU - Kuttler, Christina
N1 - Publisher Copyright:
© 2024, EasyChair. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Cellular automata, being an apparatus for the implementation of discrete dynamic models, play a special role in mathematical biology and in silico studies of microorganisms. The study was undertaken to design 3D hybrid cellular automata-based model of bacterial biofilm taking into account the surface spreading mechanism. The model formalization is based on the cellular automaton algorithm of biofilm evolution, a discrete analogy for the diffusion model of nutrient consumption, and an additional inoculation mechanism. The proposed computational procedure allows to conduct simulations under variations of key model parameters: the initial nutrient level, the probability of additional inoculation, and the radius of random inoculation transfer. A series of in silico experiments was conducted to investigate biofilm formation with a focus on ensuring two key factors: maximum space occupation with minimal resource consumption.
AB - Cellular automata, being an apparatus for the implementation of discrete dynamic models, play a special role in mathematical biology and in silico studies of microorganisms. The study was undertaken to design 3D hybrid cellular automata-based model of bacterial biofilm taking into account the surface spreading mechanism. The model formalization is based on the cellular automaton algorithm of biofilm evolution, a discrete analogy for the diffusion model of nutrient consumption, and an additional inoculation mechanism. The proposed computational procedure allows to conduct simulations under variations of key model parameters: the initial nutrient level, the probability of additional inoculation, and the radius of random inoculation transfer. A series of in silico experiments was conducted to investigate biofilm formation with a focus on ensuring two key factors: maximum space occupation with minimal resource consumption.
UR - http://www.scopus.com/inward/record.url?scp=85213307695&partnerID=8YFLogxK
U2 - 10.29007/m864
DO - 10.29007/m864
M3 - Conference article
AN - SCOPUS:85213307695
SN - 2398-7340
VL - 104
SP - 193
EP - 208
JO - EPiC Series in Computing
JF - EPiC Series in Computing
T2 - 3rd International Workshop on Mathematical Modeling and Scientific Computing, MMSC 2024
Y2 - 8 October 2024 through 10 October 2024
ER -