A mean-field theory for characterizing the closing rates of DNA origami hinges

• Published in: The Journal of chemical physics 2024-08, Vol.161 (7)
• Main Authors: Yeboah, Isaac O., Young, Robert T., Mosioma, Mark, Sensale, Sebastian
• Format: Article
• Language: English
• Subjects: Binding; Binding energy; DNA - chemistry; DNA, Single-Stranded - chemistry; Kinetics; Mean field theory; Nanostructure; Nanostructures - chemistry; Nanotechnology - methods; Nucleic Acid Conformation; Optimization; Statistical mechanics
• ISSN: 0021-9606; 1089-7690; 1089-7690
• DOI: 10.1063/5.0222446

The evolution of dynamic DNA nanostructures has propelled DNA nanotechnology into a robust and versatile field, offering groundbreaking applications in nanoscale communication, drug delivery, and molecular computing. Yet, the full potential of this technology awaits further enhancement through optimization of kinetic properties governing conformational changes. In this work, we introduce a mean-field theory to characterize the kinetic behavior of a dynamic DNA origami hinge where each arm bears complementary single-stranded DNA overhangs of different lengths, which can latch the hinge at a closed conformation. This device is currently being investigated for multiple applications, being of particular interest the development of DNA-based rapid diagnostic tests for coronavirus. Drawing from classical statistical mechanics theories, we derive analytical expressions for the mean binding time of these overhangs within a constant hinge. This analysis is then extended to flexible hinges, where the angle diffuses within a predetermined energy landscape. We validate our model by comparing it with experimental measurements of the closing rates of DNA nanocalipers with different energy landscapes and overhang lengths, demonstrating excellent agreement and suggesting fast angular relaxation relative to binding. These findings offer insights that can guide the optimization of devices for specific state lifetimes. Moreover, the framework introduced here lays the groundwork for further advancements in modeling the kinetics of dynamic DNA nanostructures.