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Self-assembly of biomolecules provides a powerful tool for a wide range of applications in nanomedicine, biosensing and imaging, vaccines, computation, nanophotonics, etc. The key is to rationally design building blocks and the intermolecule interactions. Along this line, structural DNA nanotechnology has rapidly developed by limiting DNA secondary structures to primarily well-established, B-form DNA duplexes, which can be readily and reliably predicted. As the field evolves, more sophisticated structural elements must be introduced. While increasing the structural complexity, they bring challenges to predicting DNA nanostructures. In the past, a brutal and tedious error-and-trial approach has often been used to solve this problem. Here, we report a case study of applying AlphaFold 3 to model the structural elements to facilitate DNA nanostructure design. This protocol is expected to be generally applicable and greatly facilitates the further development of structural DNA nanotechnology.
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http://dx.doi.org/10.1021/jacs.4c08387 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Martin A. Fisher School of Physics, Brandeis University, Waltham, MA 02453.
Programmable self-assembly has recently enabled the creation of complex structures through precise control of the interparticle interactions and the particle geometries. Targeting ever more structurally complex, dynamic, and functional assemblies necessitates going beyond the design of the structure itself, to the measurement and control of the local flexibility of the intersubunit connections and its impact on the collective mechanics of the entire assembly. In this study, we demonstrate a method to infer the mechanical properties of multisubunit assemblies using cryogenic electron microscopy (cryo-EM) and RELION's multi-body refinement.
View Article and Find Full Text PDFAppl Biochem Biotechnol
September 2025
School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers.
View Article and Find Full Text PDFMikrochim Acta
September 2025
Department of Public Health Laboratory Sciences, College of Public Health, Hengyang Medical School, University of South China, 28 Changsheng West Road, Hengyang, 421001, Hunan, China.
We systematically evaluated the DNA adsorption and desorption efficiencies of several nanoparticles. Among them, titanium dioxide (TiO₂) nanoparticles (NPs), aluminum oxide (Al₂O₃) NPs, and zinc oxide (ZnO) NPs exhibited strong DNA-binding capacities under mild conditions. However, phosphate-mediated DNA displacement efficiencies varied considerably, with only TiO₂ NPs showing consistently superior performance.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
Ohio State Biochemistry Graduate Program, The Ohio State University, Columbus, OH 43210, United States.
Nucleosome repositioning is essential for establishing nucleosome-depleted regions to initiate transcription. This process has been extensively studied using structural, biochemical, and single-molecule approaches, which require homogeneously positioned nucleosomes. This is often achieved using the Widom 601 sequence, a highly efficient nucleosome-positioning element (NPE) selected for its unusually strong binding to the H3-H4 histone tetramer.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China.
Local pH variations play a pivotal role in numerous critical biological processes. However, achieving the tunability and selectivity of pH detection remains a challenge. Here, we present a DNA-based strategy that enables programmable and selective pH responses, which is termed shadow-strand hybridization-actuated displacement engineering (SHADE).
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