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Pathways are uniform biological framework that can be used for functional modelling of microbial metabolisms.
The novelty of the work lays on fully considering the spatial location of the molecules and allowing for the description of intricate microscale structures, which enables the modelling of microbial behaviour in more realistic and complex environments.
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Our aim in this paper is to build a cheaper surrogate of an individual-based (IB) model simulation of microbial communities.
Fig. 4 Four exemplary jump diffusion models of microbial migration vs. mutation across a 3D lattice.
The most recent mathematical models of microbial activity in heterogeneous biofilms are based on cellular automata.
Genome-scale models of microbial metabolism are increasingly being used in biological discovery and metabolic engineering.
The new architecture is based on two existing models: WASABI and a model of Microbial Fuel Cell technology.
Mathematical models of microbial communities could be of great value in the rational design of microbiota-tailoring diets and therapies.
However, it has become apparent that, according to the thermodynamic model of microbial adhesion, hydrophobic materials are preferentially colonized by hydrophobic bacteria and vice versa [39, 44, 47 49].
Risk assessment for food spoilage relies on probabilistic models of microbial growth to predict the likelihood that microbial populations will exceed predefined spoilage levels.
A mathematical model of microbial growth on a single limited substrate in batch culture is proposed as an extension of the Monod's one.
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