Modeling nanoparticle uptake and intracellular distribution using stochastic process algebras

摘要: Computational modeling is increasingly important to help understand the interaction and movement of nanoparticles (NPs) within living cells, come terms with wealth data that microscopy imaging yields. A quantitative description spatio-temporal distribution NPs inside cells; however, it challenging due complexity multiple compartments such as endosomes nuclei, which themselves are dynamic can undergo fusion fission exchange their content. Here, we show stochastic pi calculus, a widely-used process algebra, well suited for mapping surface intracellular NP interactions distributions. In each represented process, adopt various states bound or aggregated, be passed between processes representing location, function predefined channels. We created calculus model gold uptake compared evolution surface-bound, cytosolic, endosomal, nuclear densities electron data. demonstrate computational approach extended include specific molecular binding potential signaling cascades characteristic NP-cell in wide range applications nanotoxicity, viral infection, drug delivery.