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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Adv Drug Deliv Rev. 2021 Apr 20;173:427–438. doi: 10.1016/j.addr.2021.04.011

Figure 4: QSAR modeling employs a set of NANPs to predict pro-inflammatory immune responses.

Figure 4:

A panel of representative DNA, RNA, and DNA/RNA NANPs was designed with varying descriptors such as molecular weight, melting temperature, size, and stability. A training set composed of 80% of this batch was used for machine learning, where descriptors were matched against outcomes of experimentally found immunostimulations. A validation set was then used to confirm the predicted trends and validate the model. Created with Biorender.com