Jae Young Lee

Structural DNA nanotechnology enables the programmable construction of nano- to microscale assemblies with high resolution, yet predicting their mechanical behavior prior to synthesis remains challenging. In this paper, we introduce SNUPI, a computational framework that predicts the shape and mechanical responses of structured DNA assemblies using finite element-based analysis. SNUPI uses design files from caDNAno and performs static analysis, normal-mode analysis, and Langevin dynamics simulations to evaluate equilibrium configurations, dominant deformation modes, thermal fluctuations, and intercalator-induced effects. We demonstrate that SNUPI can offer an efficient and accessible platform for pre- and postsynthetic evaluation, facilitating rational design and analysis of complex DNA architectures.

Incorporating colloidal quantum emitters into integrated photonics would greatly advance quantum optics. However, placing individual sub-10 nm colloidal particles onto micron-sized photonic structures with nanometer-scale precision remains challenging. We introduce topography-modulated origami placement, which uses DNA origami to place colloidal nanomaterials within lithographically defined, shape-matched resist wells. The method patterns origami templates onto photonic chips with high yield and nanometer-scale precision. A soft- silicification-passivation step stabilizes deposited origamis while preserving DNA binding sites that selectively attach and align colloidal quantum rods, controlling their position and emission polarization. Placed quantum rods demonstrated room-temperature single-photon emission. We integrated individual quantum rods with waveguides, micro-ring resonators, and bullseye microcavities, and achieved cavity-coupled single-photon emission. This approach offers a general platform for integrating colloidal quantum materials into photonic systems.

One of the key advantages of using a hydrogel is its superb control over elasticity obtained through variations of constituent polymer and water. The underlying molecular nature of a hydrogel is a fundamental origin of hydrogel mechanics. In this article, we report a Polyacrylamide (PAAm)-based hydrogel model using the MARTINI coarse-grained (CG) force field. The MARTINI hydrogel is molecularly developed through Iterative Boltzmann inversion (IBI) using all-atom molecular dynamics (AAMD), and its quality is evaluated through the experimental realization of the target hydrogel. The developed model offers a mechanically high-fidelity CG hydrogel that can access large-scale water-containing hydrogel behavior, which is difficult to explore through AAMD in practical time. With the modeled hydrogel, we reveal that the polymer conformation modulates the elasticity of the hydrogel from a folded state to a swollen state, confirmed by the Panyukov model. The results provide a robust bridge for linking the polymer conformations and alignment to their bulk deformation, enabling the multifaceted and material-specific predictions required for hydrogel applications.

Chemo-mechanical deformation of structured DNA assemblies driven by DNA-binding ligands has offered promising avenues for biological and therapeutic applications. However, it remains elusive how to effectively model and predict their effects on the deformation and mechanical properties of DNA structures. Here, we present a computational framework for simulating chemo-mechanical change of structured DNA assemblies. We particularly quantify the effects of ethidium bromide (EtBr) intercalation on the geometry and mechanical properties of DNA base-pairs through molecular dynamics simulations and integrated them into finite-element-based structural analysis to predict the shape and properties of DNA objects. The proposed model captures various structural changes induced by EtBr-binding such as shape variation, flexibility modulation, and supercoiling instability. It enables a rational design of structured DNA assemblies with tunable shapes and mechanical properties by binding molecules.

Molecular carriers are necessary for the controlled release of drugs and genes to achieve the desired therapeutic outcomes. DNA hydrogels can be a promising candidate in this application with their distinctive sequence-dependent programmability, which allows precise encapsulation of specific cargo molecules and stimuli-responsive release of them at the target. However, DNA hydrogels are inherently susceptible to the degradation of nucleases, making them vulnerable in a physiological environment. To be an effective molecular carrier, DNA hydrogels should be able to protect encapsulated cargo molecules until they reach the target and release them once they are reached. Here, we develop a simple way of controlling the enzyme resistance of DNA hydrogels for cargo protection and release by using cation-mediated condensation and expansion. We found that DNA hydrogels condensed by spermine are highly resistant to enzymatic degradation. They become degradable again if expanded back to their original, uncondensed state by sodium ions interfering with the interaction between spermine and DNA. These controllable condensation, expansion, and degradation of DNA hydrogels pave the way for the development of DNA hydrogels as an effective molecular carrier.

Unlike proteins, which have a wealth of validated structural data, experimentally or computationally validated DNA origami datasets are limited. Here we present a graph neural network that can predict the three-dimensional conformation of DNA origami assemblies both rapidly and accurately. We develop a hybrid data-driven and physics-informed approach for model training, designed to minimize not only the data-driven loss but also the physics-informed loss. By employing an ensemble strategy, the model can successfully infer the shape of monomeric DNA origami structures almost in real time. Further refinement of the model in an unsupervised manner enables the analysis of supramolecular assemblies consisting of tens to hundreds of DNA blocks. The proposed model enables an automated inverse design of DNA origami structures for given target shapes. Our approach facilitates the real-time virtual prototyping of DNA origami, broadening its design space.

DNA origami-based templates have been widely used to fabricate chiral plasmonic metamaterials due to their precise control of the placement of nanoparticles (NPs) in a desired configuration. However, achieving various chiroptical responses inevitably requires a change in the structure of DNA origami-based templates or binding sites on them, leading to the use of significantly different sets of DNA strands. Here, we propose an approach to controlling various chiroptical responses with a single DNA origami design using its chemo-mechanical deformation induced by DNA intercalators. The chiroptical response could be finely tuned by altering the concentration of intercalators only. The silver (Ag) enhancement was used to amplify the chiroptical signal by enlarging NPs and to maintain it by stiffening the template DNA structure. Furthermore, the sensitivity in the chiroptical signal change to the concentration of intercalators could be modulated by the type of intercalator, the mixture of two intercalators, and the stiffness of DNA origami structures. This approach would be useful in a variety of optical applications that require programmed spatial modification of chiroptical responses.

Recent advances in constructing a structured DNA assembly whose configuration can be dynamically changed in response to external stimuli have demanded the development of an efficient computational modeling approach to expedite its design process. Here, we present a computational framework capable of analyzing both equilibrium and non-equilibrium dynamics of structured DNA assemblies at the molecular level. The framework employs Langevin dynamics with structural and hydrodynamic finite element models that describe mechanical, electrostatic, base stacking, and hydrodynamic interactions. Equilibrium dynamic analysis for various problems confirms the solution accuracy at a near-atomic resolution, comparable to molecular dynamics simulations and experimental measurements. Furthermore, our model successfully simulates a long-time-scale close-to-open-to-close dynamic reconfiguration of the switch structure in response to changes in ion concentration. We expect that the proposed model will offer a versatile way of designing responsive and reconfigurable DNA machines.

The paper-folding mechanism has been widely adopted in building of reconfigurable macroscale systems because of its unique capabilities and advantages in programming variable shapes and stiffness into a structure^1,2,3,4,5. However, it has barely been exploited in the construction of molecular-level systems owing to the lack of a suitable design principle, even though various dynamic structures based on DNA self-assembly^6,7,8,9 have been developed^{10,11,12,13,14,15,16,17,18,19,20,21,22,23}. Here we propose a method to harness the paper-folding mechanism to create reconfigurable DNA origami structures. The main idea is to build a reference, planar wireframe structure²⁴ whose edges follow a crease pattern in paper folding so that it can be folded into various target shapes. We realized several paper-like folding and unfolding patterns using DNA strand displacement²⁵ with high yield. Orthogonal folding, repeatable folding and unfolding, folding-based microRNA detection and fluorescence signal control were demonstrated. Stimuli-responsive folding and unfolding triggered by pH or light-source change were also possible. Moreover, by employing hierarchical assembly²⁶ we could expand the design space and complexity of the paper-folding mechanism in a highly programmable manner. Because of its high programmability and scalability, we expect that the proposed paper-folding-based reconfiguration method will advance the development of complex molecular systems.