BOSTON (TIP): Scientists have developed an algorithm that uses DNA strands to automatically build 3D nanoparticles, which may be used in a range of applications such as vaccines, gene editing tools and memory storage. Researchers can build complex, nanometre-scale structures of almost any shape and form, using strands of DNA. However, these particles must be designed by hand, in a complex and laborious process.
This has limited the technique, known as DNA origami, to just a small group of experts in the field.
Unlike traditional DNA origami, in which the structure is built up manually by hand, the algorithm starts with a simple, 3D geometric representation of the final shape of the object, and then decides how it should be assembled from DNA, according to Mark Bathe, associate professor at Massachusetts Institute of Technology (MIT), who led the research. The technique may be used to develop nanoparticles for a much broader range of applications, including scaffolds for vaccines, carriers for gene editing tools, and in archival memory storage.
“The paper turns the problem around from one in which an expert designs the DNA needed to synthesize the object, to one in which the object itself is the starting point, with the DNA sequences that are needed automatically defined by the algorithm,” Bathe said. “Our hope is that this automation significantly broadens participation of others in the use of this powerful molecular design paradigm,” he said.
The algorithm first represents the object as a perfectly smooth, continuous outline of its surface. It then breaks the surface up into a series of polygonal shapes. Next, it routes a long, single strand of DNA, called the scaffold, which acts like a piece of thread, throughout the entire structure to hold it together.The algorithm weaves the scaffold in one fast and efficient step, which can be used for any shape of 3D object, Bathe said.
“That step is a powerful part of the algorithm, because it does not require any manual or human interface, and it is guaranteed to work for any 3D object very efficiently,” he said.
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