An experimental and computational framework for engineering multifunctional nanoparticles: designing selective anticancer therapiesElectronic supplementary information (ESI) available: Model description. Table S1. Model parameters and constants: definitions and estimated/fitted values. Fig. S1. TEM images of BSA-NPs. Fig. S2. Stability of BSA-NPs. Fig. S3. Release kinetics of the different nanoparticles used. Fig. S4. Prussian blue staining of cellular uptake in MCF-10A. Fig. S5. Cellular locali
A key challenge in the treatment of cancer with nanomedicine is to engineer and select nanoparticle formulations that lead to the desired selectivity between tumorigenic and non-tumorigenic cells. To this aim, novel designed nanomaterials, deep biochemical understanding of the mechanisms of interact...
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