SUMMARY

Despite the rising costs of nanomedicine research, only small number of therapeutic and diagnostic nanoparticles have been approved by the FDA. This motivates the development of technologies to enhance the capability of prediction and reduce the research costs. Among the new technologies, computational method allows us to cover the area where experiments are not capable of. This approach is believed to reduce the cost of experiment, playing a key role in early stage study. However, computer simulation provides results under fixed conditions, which might not be an ideal physiological condition in dynamical biology system. For this reason, validation with experimental results is often needed. Microfluidics is another new developing technology that improves experimental reliability and reproducibility, providing controllable flow patterns with tunable characteristic mixing time. Despite these advantages, waste of costly precursors is still one concern. This research will focus on contributing to the characterization of nanomaterials, applying integrative approach of molecular dynamics (MD) simulation, computational fluid dynamics (CFD) and microfluidic synthesis. This approach will be applied for the function of engineered high- density lipoprotein-mimetic nanoparticles (eHNPs) with HDL-associate protein, paraoxonase-1 (PON1) composition, and their interactions with endothelial cells.