Abstract
This work reports the outcomes of in silico simulations of the interactions between S. aureus bacteria and an antibacterial polymeric coating developed onto titanium substrates. The aim of the theoretical analysis is to develop a computational approach suitable of predicting the effective amount of antibacterial agents to load onto the polymeric coating in order to prevent titanium implants infections and at the same time to minimize cytotoxicity. The simulations results will be contrasted with experimental data.
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Bonifacio, M.A., Cometa, S., De Giglio, E. (2016). Simulating Bacteria-Materials Interactions via Agent-Based Modeling. In: Rossi, F., Mavelli, F., Stano, P., Caivano, D. (eds) Advances in Artificial Life, Evolutionary Computation and Systems Chemistry. WIVACE 2015. Communications in Computer and Information Science, vol 587. Springer, Cham. https://doi.org/10.1007/978-3-319-32695-5_7
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DOI: https://doi.org/10.1007/978-3-319-32695-5_7
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