Medical College of Wisconsin
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Computational and experimental characterization of RNA cubic nanoscaffolds. Methods 2014 May 15;67(2):256-65

Date

11/06/2013

Pubmed ID

24189588

Pubmed Central ID

PMC4007386

DOI

10.1016/j.ymeth.2013.10.013

Scopus ID

2-s2.0-84899738170 (requires institutional sign-in at Scopus site)   51 Citations

Abstract

The fast-developing field of RNA nanotechnology requires the adoption and development of novel and faster computational approaches to modeling and characterization of RNA-based nano-objects. We report the first application of Elastic Network Modeling (ENM), a structure-based dynamics model, to RNA nanotechnology. With the use of an Anisotropic Network Model (ANM), a type of ENM, we characterize the dynamic behavior of non-compact, multi-stranded RNA-based nanocubes that can be used as nano-scale scaffolds carrying different functionalities. Modeling the nanocubes with our tool NanoTiler and exploring the dynamic characteristics of the models with ANM suggested relatively minor but important structural modifications that enhanced the assembly properties and thermodynamic stabilities. In silico and in vitro, we compared nanocubes having different numbers of base pairs per side, showing with both methods that the 10 bp-long helix design leads to more efficient assembly, as predicted computationally. We also explored the impact of different numbers of single-stranded nucleotide stretches at each of the cube corners and showed that cube flexibility simulations help explain the differences in the experimental assembly yields, as well as the measured nanomolecule sizes and melting temperatures. This original work paves the way for detailed computational analysis of the dynamic behavior of artificially designed multi-stranded RNA nanoparticles.

Author List

Afonin KA, Kasprzak W, Bindewald E, Puppala PS, Diehl AR, Hall KT, Kim TJ, Zimmermann MT, Jernigan RL, Jaeger L, Shapiro BA

Author

Michael T. Zimmermann PhD Director, Associate Professor in the Data Science Institute department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Anisotropy
Computer Simulation
Cryoelectron Microscopy
Light
Models, Chemical
Models, Molecular
Nanostructures
Nucleic Acid Conformation
RNA
Scattering, Radiation