Title: Design, optimization and analysis of large DNA and RNA nanostructures through interactive visualization, editing and molecular simulation
Abstract This work seeks to remedy two deficiencies in the current nucleic acid nanotechnology software environment: the lack of both a fast and user-friendly visualization tool and a standard for structural analyses of simulated systems. We introduce here oxView, a web browser-based visualizer that can load structures with over 1 million nucleotides, create videos from simulation trajectories, and allow users to perform basic edits to DNA and RNA designs. We additionally introduce open-source software tools for extracting common structural parameters to characterize large DNA/RNA nanostructures simulated using the coarse-grained modeling tool, oxDNA, which has grown in popularity in recent years and is frequently used to prototype new nucleic acid nanostructural designs, model biophysics of DNA/RNA processes, and rationalize experimental results. The newly introduced software tools facilitate the computational characterization of DNA/RNA designs by providing multiple analysis scripts, including mean structures and structure flexibility characterization, hydrogen bond fraying, and interduplex angles. The output of these tools can be loaded into oxView, allowing users to interact with the simulated structure in a 3D graphical environment and modify the structures to achieve the required properties. We demonstrate these newly developed tools by applying them to design and analysis of a range of DNA/RNA nanostructures. more »« less
Alexander J Lushnikov, Yelixza I
(, Methods in molecular biology)
Kirill A. Afonin
(Ed.)
The protocol described in this chapter allows for acquiring topography images of RNA-based nanoring structures and assessing their dynamic properties using atomic force microscopy (AFM) imaging. AFM is an indispensable tool for characterization of nucleic acid-based nanostructures with the exceptional capability of observing complexes in the range of a few nanometers. This method can visualize structural characteristics and evaluate differences between individual structurally different RNA nanorings. Due to the highly resolved AFM topography images, we introduce an approach that allows to distinguish the differences in the dynamic behavior of RNA nanoparticles not amenable to other experimental techniques. This protocol describes in detail the preparation procedures of RNA nanostructures, AFM imaging, and data analysis.
Alenaizan, Asem; Barnett, Joshua L; Hud, Nicholas V; Sherrill, C David; Petrov, Anton S
(, Nucleic Acids Research)
null
(Ed.)
Abstract The helical structures of DNA and RNA were originally revealed by experimental data. Likewise, the development of programs for modeling these natural polymers was guided by known structures. These nucleic acid polymers represent only two members of a potentially vast class of polymers with similar structural features, but that differ from DNA and RNA in the backbone or nucleobases. Xeno nucleic acids (XNAs) incorporate alternative backbones that affect the conformational, chemical, and thermodynamic properties of XNAs. Given the vast chemical space of possible XNAs, computational modeling of alternative nucleic acids can accelerate the search for plausible nucleic acid analogs and guide their rational design. Additionally, a tool for the modeling of nucleic acids could help reveal what nucleic acid polymers may have existed before RNA in the early evolution of life. To aid the development of novel XNA polymers and the search for possible pre-RNA candidates, this article presents the proto-Nucleic Acid Builder (https://github.com/GT-NucleicAcids/pnab), an open-source program for modeling nucleic acid analogs with alternative backbones and nucleobases. The torsion-driven conformation search procedure implemented here predicts structures with good accuracy compared to experimental structures, and correctly demonstrates the correlation between the helical structure and the backbone conformation in DNA and RNA.
Nucleic acid nanostructures with different chemical compositions have shown utility in biological applications as they provide additional assembly parameters and enhanced stability. The naturally occurring 2′-5′ linkage in RNA is thought to be a prebiotic analogue and has potential use in antisense therapeutics. Here, we report the first instance of DNA/RNA motifs containing 2′-5′ linkages. We synthesized and incorporated RNA strands with 2′-5′ linkages into different DNA motifs with varying number of branch points (a duplex, four arm junction, double crossover motif and tensegrity triangle motif). Using experimental characterization and molecular dynamics simulations, we show that hybrid DNA/RNA nanostructures can accommodate interspersed 2′-5′ linkages with relatively minor effect on the formation of these structures. Further, the modified nanostructures showed improved resistance to ribonuclease cleavage, indicating their potential use in the construction of robust drug delivery vehicles with prolonged stability in physiological conditions.
Chen, Yuexi; Jeong, Cheol; Savelyev, Alexey; Krueger, Susan; Curtis, Joseph E; Brookes, Emre H; Fushman, David
(, Gateways 2019)
Proteins and nucleic acids participate in essentially every biochemical process in living organisms, and the elucidation of their structure and motions is essential for our understanding how these molecular machines perform their function. Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful versatile technique that provides critical information on the molecular structure and dynamics. Spin-relaxation data are used to determine the overall rotational diffusion and local motions of biological macromolecules, while residual dipolar couplings (RDCs) reveal local and long-range structural architecture of these molecules and their complexes. This information allows researchers to refine structures of proteins and nucleic acids and provides restraints for molecular docking. Several software packages have been developed by NMR researchers in order to tackle the complicated experimental data analysis and structure modeling. However, many of them are offline packages or command-line applications that require users to set up the run time environment and also to possess certain programming skills, which inevitably limits accessibility of this software to a broad scientific community. Here we present new science gateways designed for NMR/structural biology community that address these current limitations in NMR data analysis. Using the GenApp technology for scientific gateways (https://genapp.rocks), we successfully transformed ROTDIF and ALTENS, two offline packages for bio-NMR data analysis, into science gateways that provide advanced computational functionalities, cloud-based data management, and interactive 2D and 3D plotting and visualizations. Furthermore, these gateways are integrated with molecular structure visualization tools (Jmol) and with gateways/engines (SASSIE-web) capable of generating huge computer-simulated structural ensembles of proteins and nucleic acids. This enables researchers to seamlessly incorporate conformational ensembles into the analysis in order to adequately take into account structural heterogeneity and dynamic nature of biological macromolecules. ROTDIF-web offers a versatile set of integrated modules/tools for determining and predicting molecular rotational diffusion tensors and model-free characterization of bond dynamics in biomacromolecules and for docking of molecular complexes driven by the information extracted from NMR relaxation data. ALTENS allows characterization of the molecular alignment under anisotropic conditions, which enables researchers to obtain accurate local and long-range bond-vector restraints for refining 3-D structures of macromolecules and their complexes. We will describe our experience bringing our programs into GenApp and illustrate the use of these gateways for specific examples of protein systems of high biological significance. We expect these gateways to be useful to structural biologists and biophysicists as well as NMR community and to stimulate other researchers to share their scientific software in a similar way.
Abstract OxDNA and oxRNA are popular coarse-grained models used by the DNA/RNA nanotechnology community to prototype, analyze and rationalize designed DNA and RNA nanostructures. Here, we present oxDNA.org, a graphical web interface for running, visualizing and analyzing oxDNA and oxRNA molecular dynamics simulations on a GPU-enabled high performance computing server. OxDNA.org automatically generates simulation files, including a multi-step relaxation protocol for structures exported in non-physical states from DNA/RNA design tools. Once the simulation is complete, oxDNA.org provides an interactive visualization and analysis interface using the browser-based visualizer oxView to facilitate the understanding of simulation results for a user’s specific structure. This online tool significantly lowers the entry barrier of integrating simulations in the nanostructure design pipeline for users who are not experts in the technical aspects of molecular simulation. The webserver is freely available at oxdna.org.
Poppleton, Erik, Bohlin, Joakim, Matthies, Michael, Sharma, Shuchi, Zhang, Fei, and Šulc, Petr. Design, optimization and analysis of large DNA and RNA nanostructures through interactive visualization, editing and molecular simulation. Retrieved from https://par.nsf.gov/biblio/10168434. Nucleic Acids Research . Web. doi:10.1093/nar/gkaa417.
Poppleton, Erik, Bohlin, Joakim, Matthies, Michael, Sharma, Shuchi, Zhang, Fei, & Šulc, Petr. Design, optimization and analysis of large DNA and RNA nanostructures through interactive visualization, editing and molecular simulation. Nucleic Acids Research, (). Retrieved from https://par.nsf.gov/biblio/10168434. https://doi.org/10.1093/nar/gkaa417
Poppleton, Erik, Bohlin, Joakim, Matthies, Michael, Sharma, Shuchi, Zhang, Fei, and Šulc, Petr.
"Design, optimization and analysis of large DNA and RNA nanostructures through interactive visualization, editing and molecular simulation". Nucleic Acids Research (). Country unknown/Code not available. https://doi.org/10.1093/nar/gkaa417.https://par.nsf.gov/biblio/10168434.
@article{osti_10168434,
place = {Country unknown/Code not available},
title = {Design, optimization and analysis of large DNA and RNA nanostructures through interactive visualization, editing and molecular simulation},
url = {https://par.nsf.gov/biblio/10168434},
DOI = {10.1093/nar/gkaa417},
abstractNote = {Abstract This work seeks to remedy two deficiencies in the current nucleic acid nanotechnology software environment: the lack of both a fast and user-friendly visualization tool and a standard for structural analyses of simulated systems. We introduce here oxView, a web browser-based visualizer that can load structures with over 1 million nucleotides, create videos from simulation trajectories, and allow users to perform basic edits to DNA and RNA designs. We additionally introduce open-source software tools for extracting common structural parameters to characterize large DNA/RNA nanostructures simulated using the coarse-grained modeling tool, oxDNA, which has grown in popularity in recent years and is frequently used to prototype new nucleic acid nanostructural designs, model biophysics of DNA/RNA processes, and rationalize experimental results. The newly introduced software tools facilitate the computational characterization of DNA/RNA designs by providing multiple analysis scripts, including mean structures and structure flexibility characterization, hydrogen bond fraying, and interduplex angles. The output of these tools can be loaded into oxView, allowing users to interact with the simulated structure in a 3D graphical environment and modify the structures to achieve the required properties. We demonstrate these newly developed tools by applying them to design and analysis of a range of DNA/RNA nanostructures.},
journal = {Nucleic Acids Research},
author = {Poppleton, Erik and Bohlin, Joakim and Matthies, Michael and Sharma, Shuchi and Zhang, Fei and Šulc, Petr},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.
An official website of the United States government
