In-silico modeling of early-stage biofilm formation
Pin Nie, Francisco Alarcon Oseguera, Ivan Lopez-Montero, Belen Orgaz,, Chantal Valeriani, Massimo Pica Ciamarra

TL;DR
This paper presents a hybrid simulation model combining molecular dynamics and Monte Carlo methods to study early-stage biofilm formation, capturing key biological processes and providing insights into initial biofilm development.
Contribution
It introduces a novel hybrid modeling approach that explicitly simulates multiple biological processes involved in early biofilm formation in two and three dimensions.
Findings
Model successfully simulates bacterial growth, interaction, and motility.
Extracellular polymeric substances influence biofilm structure.
Preliminary 3D results show potential for more realistic modeling.
Abstract
Several bacteria and bacteria strands form biofilms in different environmental conditions, e.g. pH, temperature, nutrients, etc. Biofilm growth, therefore, is an extremely robust process. Because of this, while biofilm growth is a complex process affected by several variables, insights into biofilm formation could be obtained studying simple schematic models. In this manuscript, we describe a hybrid molecular dynamics and Monte Carlo model for the simulation of the early stage formation of a biofilm, to explicitly demonstrate that it is possible to account for most of the processes expected to be relevant. The simulations account for the growth and reproduction of the bacteria, for their interaction and motility, for the synthesis of extracellular polymeric substances and Psl trails. We describe the effect of these processes on the early stage formation of biofilms, in two dimensions,…
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