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Structure-aware machine learning captures strain impact on molecule-surface interactions for rapid catalyst evaluation. 

Collagen-targeting strategies have proven to be an effective method for targeting drugs to pathological tissues for treatment of disease. The use of collagen-like peptides for controlling the assembly of drug delivery vehicles, as well as their integration into collagen-containing matrices, offers significant advantages for tuning the morphologies of assembled structures, their thermoresponsiveness, and the loading and release of both small-molecule and macro-molecular cargo. In this contribution, we summarize the design and development of collagen-peptide-based drug delivery systems introduced by the Kiick group and detail the expansion of our understanding and the application of these unique molecules through collaborations with experts in computational simulations (Jayaraman), osteoarthritis (Price), and gene delivery (Sullivan). Kiick was inducted as a Fellow of the National Academy of Inventors in 2019 and was to deliver an address describing the innovations of her research. Given the cancellation of the NAI Annual Meeting as a result of coronavirus travel restrictions, her work based on collagen-peptide-mediated assembly is instead summarized in this contribution.