Artificial intelligence techniques for optimisation of nucleic acid origami experiments

In recent years, several potential applications for nucleic acid nanostructures were discussed, from molecular payload nanorobots for delivery of drug compounds, to the design of bio-computing interfaces. However, a few challenges for widespread use remain, such as where it can be applied, the scalability of the technique, and the complexity of the structures created.

In this talk, I will describe our solution to some of the challenges around the use of nanostructures, and discuss the AI-driven strategy we developed to assist in the design of experimental lab protocols for well-folded nucleic acid origami.