High-Throughput, Data-Driven Layered Nanoparticle Screening and Design

The Hammond Lab has demonstrated that rational design of particle surface chemistries, using polymeric outer layers, yields targeting advantages. To better understand the rules governing these behaviors, libraries of layered nanoparticles, varying core and surface chemistry, have been screened across a broad array of DNA-barcoded cancer cell lines. ML-driven analysis of the data generated has illustrated that NP cores govern cellular uptake as well as surface chemistries; additionally through correlative genomic analysis, we identified key cancer biomarkers that dictate NP trafficking for certain core chemistries. Future work in this area will expand this analysis to broader nanoparticle and cellular libraries, in addition to integrating additional computational techniques to facilitate nanoparticle design.