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RNA Nanostructures

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Cover of 'RNA Nanostructures'

Table of Contents

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    Book Overview
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    Chapter 1 A New Method to Predict Ion Effects in RNA Folding
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    Chapter 2 Computational Generation of RNA Nanorings
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    Chapter 3 Protocols for Molecular Dynamics Simulations of RNA Nanostructures
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    Chapter 4 Rolling Circle Transcription for the Self-Assembly of Multimeric RNAi Structures and Its Applications in Nanomedicine
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    Chapter 5 Computational Prediction of the Immunomodulatory Potential of RNA Sequences
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    Chapter 6 Cotranscriptional Production of Chemically Modified RNA Nanoparticles
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    Chapter 7 Supported Fluid Lipid Bilayer as a Scaffold to Direct Assembly of RNA Nanostructures
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    Chapter 8 Evaluation of Thermal Stability of RNA Nanoparticles by Temperature Gradient Gel Electrophoresis (TGGE) in Native Condition
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    Chapter 9 Design and Crystallography of Self-Assembling RNA Nanostructures
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    Chapter 10 X-Aptamer Selection and Validation
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    Chapter 11 Design and Preparation of Aptamer–siRNA Chimeras (AsiCs) for Targeted Cancer Therapy
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    Chapter 12 Cellular Delivery of siRNAs Using Bolaamphiphiles
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    Chapter 13 Preparation and Optimization of Lipid-Like Nanoparticles for mRNA Delivery
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    Chapter 14 Chitosan Nanoparticles for miRNA Delivery
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    Chapter 15 Synthesis of PLGA–Lipid Hybrid Nanoparticles for siRNA Delivery Using the Emulsion Method PLGA-PEG–Lipid Nanoparticles for siRNA Delivery
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    Chapter 16 Oxime Ether Lipids as Transfection Agents: Assembly and Complexation with siRNA
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    Chapter 17 Polycationic Probe-Guided Nanopore Single-Molecule Counter for Selective miRNA Detection
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    Chapter 18 Intracellular Reassociation of RNA–DNA Hybrids that Activates RNAi in HIV-Infected Cells
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    Chapter 19 Construction and In Vivo Testing of Prokaryotic Riboregulators
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    Chapter 20 Preparation of a Conditional RNA Switch
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    Chapter 21 Rational Engineering of a Modular Group I Ribozyme to Control Its Activity by Self-Dimerization
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    Chapter 22 CRISPR-Cas RNA Scaffolds for Transcriptional Programming in Yeast
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    Chapter 23 Using Planar Phi29 pRNA Three-Way Junction to Control Size and Shape of RNA Nanoparticles for Biodistribution Profiling in Mice
Attention for Chapter 3: Protocols for Molecular Dynamics Simulations of RNA Nanostructures
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Chapter title
Protocols for Molecular Dynamics Simulations of RNA Nanostructures
Chapter number 3
Book title
RNA Nanostructures
Published in
Methods in molecular biology, July 2017
DOI 10.1007/978-1-4939-7138-1_3
Pubmed ID
Book ISBNs
978-1-4939-7137-4, 978-1-4939-7138-1
Authors

Taejin Kim, Wojciech K. Kasprzak, Bruce A. Shapiro

Abstract

Molecular dynamics (MD) simulations have been used as one of the main research tools to study a wide range of biological systems and bridge the gap between X-ray crystallography or NMR structures and biological mechanism. In the field of RNA nanostructures, MD simulations have been used to fix steric clashes in computationally designed RNA nanostructures, characterize the dynamics, and investigate the interaction between RNA and other biomolecules such as delivery agents and membranes.In this chapter we present examples of computational protocols for molecular dynamics simulations in explicit and implicit solvent using the Amber Molecular Dynamics Package. We also show examples of post-simulation analysis steps and briefly mention selected tools beyond the Amber package. Limitations of the methods, tools, and protocols are also discussed. Most of the examples are illustrated for a small RNA duplex (helix), but the protocols are applicable to any nucleic acid structure, subject only to the computational speed and memory limitations of the hardware available to the user.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Professor > Associate Professor 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Chemistry 2 20%
Mathematics 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Psychology 1 10%
Agricultural and Biological Sciences 1 10%
Other 0 0%
Unknown 4 40%