Abstract
In this review chapter we focus on the nucleic acid nanotechnology research and its application in the biomedical field. We also describe some of our most recent results on the modeling of ribonucleic acid (RNA ) nanotubes and their characteristics in physiological solution s. This includes the properties that can be characterised by root mean square deviation (RMSD ), radius of gyration and radial distribution function (RDF ) for the RNA nanocluster s, paying special attention to RNA nanotube s. We describe the distribution of \(^{23} {\text{Na}}^{ + }\) and \(^{35} {\text{Cl}}^{ - }\) ions around the tube as a function of time within a distance of 5 \({\AA}\) from the surface of the tube. The results obtained from our computational studies are compared with available experimental results in the literature. The current developments in the coarse grain modeling of the RNA nanoclusters and other biomolecules are also highlighted.
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Acknowledgments
Authors are grateful to the NSERC and CRC Programs for their support and Shared Hierarchical Academic Research Computing Network (SHARCNET: www.sharcnet.ca) for providing the computational facilities. Finally, we would like to thank Dr. P.J. Douglas Roberts for helping with technical SHARCNET computational aspects.
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Badu, S., Melnik, R., Prabhakar, S. (2015). RNA Nanostructures in Physiological Solutions: Multiscale Modeling and Applications. In: Bulavin, L., Lebovka, N. (eds) Physics of Liquid Matter: Modern Problems. Springer Proceedings in Physics, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-319-20875-6_13
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