Additionally, KDE allows us to visualize the chemical space of our dataset in terms of total charge, HLB, and log P compared to the simulated PDB proteins (Figures ). While copolymer backbones are somewhat similar in total charge to a large portion of the PDB protein population, there are differences between the two subgroups in HLB and log P. EPO-SCNPs and WDCL-SCNPs appear to shift copolymer HLB closer to that of proteins, and these plots represent that a combination of descriptors are likely required for the complex task of SCNP design. For analysis and interpretation of SAXS and DLS data, we focused on two parameters of interest in the realm of therapeutic receptor binding: compactness (Rg/Rh) and flexibility (Porod exponent).