Comprehensive assessment of the toxic physiological effects of short and long term exposure to nanoparticles requires a detailed understanding of particle deposition and partitioning within the body (the “dose”), and the inflammatory cellular “response” to the dose. In this paper, we report on the progress towards the development of an integrated computational architecture for the assessment of predictions of the dynamic cellular – oxidative, generated tracheobronchial tree are presented. At the nanoparticle toxicity. The simulational methodology uniquely couples mixed-dimensional spatio-temporal models of nanoparticle dispersion with quantitative, dynamic models of cellular response. Critical elements of the modeling framework are demonstrated for nanoparticle inhalation via the pulmonary route. Results for aerosol deposition and dispersion in fully 3D models derived from medical imaging data as well as 1D model of stochastically cellular level, particle chemical properties are used to yield inflammatory and apoptotic – response to the received dose.