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<p>Tight control on the selectivity of nanoparticles’ interaction with biological systems is
paramount for the development of targeted therapies. However, the large number of synthetically tuneable parameters makes it difficult to identify optimal design “sweet spots” without
rational guiding principles. Here we address this problem combining super-selectivity theory
(SST) with analytical models from soft matter and polymer physics into a unified theoretica… Show more
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