RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview

With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are intimately linked to its structure and dynamics. Computer simulations, and in particular atomistic molecular dynamics (MD), allow structural...

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Published inChemical reviews Vol. 118; no. 8; pp. 4177 - 4338
Main Authors Šponer, Jiří, Bussi, Giovanni, Krepl, Miroslav, Banáš, Pavel, Bottaro, Sandro, Cunha, Richard A, Gil-Ley, Alejandro, Pinamonti, Giovanni, Poblete, Simón, Jurečka, Petr, Walter, Nils G, Otyepka, Michal
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 25.04.2018
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Abstract With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are intimately linked to its structure and dynamics. Computer simulations, and in particular atomistic molecular dynamics (MD), allow structural dynamics of biomolecular systems to be investigated with unprecedented temporal and spatial resolution. We here provide a comprehensive overview of the fast-developing field of MD simulations of RNA molecules. We begin with an in-depth, evaluatory coverage of the most fundamental methodological challenges that set the basis for the future development of the field, in particular, the current developments and inherent physical limitations of the atomistic force fields and the recent advances in a broad spectrum of enhanced sampling methods. We also survey the closely related field of coarse-grained modeling of RNA systems. After dealing with the methodological aspects, we provide an exhaustive overview of the available RNA simulation literature, ranging from studies of the smallest RNA oligonucleotides to investigations of the entire ribosome. Our review encompasses tetranucleotides, tetraloops, a number of small RNA motifs, A-helix RNA, kissing-loop complexes, the TAR RNA element, the decoding center and other important regions of the ribosome, as well as assorted others systems. Extended sections are devoted to RNA–ion interactions, ribozymes, riboswitches, and protein/RNA complexes. Our overview is written for as broad of an audience as possible, aiming to provide a much-needed interdisciplinary bridge between computation and experiment, together with a perspective on the future of the field.
AbstractList With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are intimately linked to its structure and dynamics. Computer simulations, and in particular atomistic molecular dynamics (MD), allow structural dynamics of biomolecular systems to be investigated with unprecedented temporal and spatial resolution. We here provide a comprehensive overview of the fast-developing field of MD simulations of RNA molecules. We begin with an in-depth, evaluatory coverage of the most fundamental methodological challenges that set the basis for the future development of the field, in particular, the current developments and inherent physical limitations of the atomistic force fields and the recent advances in a broad spectrum of enhanced sampling methods. We also survey the closely related field of coarse-grained modeling of RNA systems. After dealing with the methodological aspects, we provide an exhaustive overview of the available RNA simulation literature, ranging from studies of the smallest RNA oligonucleotides to investigations of the entire ribosome. Our review encompasses tetranucleotides, tetraloops, a number of small RNA motifs, A-helix RNA, kissing-loop complexes, the TAR RNA element, the decoding center and other important regions of the ribosome, as well as assorted others systems. Extended sections are devoted to RNA-ion interactions, ribozymes, riboswitches, and protein/RNA complexes. Our overview is written for as broad of an audience as possible, aiming to provide a much-needed interdisciplinary bridge between computation and experiment, together with a perspective on the future of the field.
With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are intimately linked to its structure and dynamics. Computer simulations, and in particular atomistic molecular dynamics (MD), allow structural dynamics of biomolecular systems to be investigated with unprecedented temporal and spatial resolution. We here provide a comprehensive overview of the fast-developing field of MD simulations of RNA molecules. We begin with an in-depth, evaluatory coverage of the most fundamental methodological challenges that set the basis for the future development of the field, in particular, the current developments and inherent physical limitations of the atomistic force fields and the recent advances in a broad spectrum of enhanced sampling methods. We also survey the closely related field of coarse-grained modeling of RNA systems. After dealing with the methodological aspects, we provide an exhaustive overview of the available RNA simulation literature, ranging from studies of the smallest RNA oligonucleotides to investigations of the entire ribosome. Our review encompasses tetranucleotides, tetraloops, a number of small RNA motifs, A-helix RNA, kissing-loop complexes, the TAR RNA element, the decoding center and other important regions of the ribosome, as well as assorted others systems. Extended sections are devoted to RNA–ion interactions, ribozymes, riboswitches, and protein/RNA complexes. Our overview is written for as broad of an audience as possible, aiming to provide a much-needed interdisciplinary bridge between computation and experiment, together with a perspective on the future of the field.
Author Bussi, Giovanni
Jurečka, Petr
Banáš, Pavel
Cunha, Richard A
Krepl, Miroslav
Pinamonti, Giovanni
Walter, Nils G
Šponer, Jiří
Gil-Ley, Alejandro
Poblete, Simón
Otyepka, Michal
Bottaro, Sandro
AuthorAffiliation University of Michigan
Institute of Biophysics of the Czech Academy of Sciences
Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science
Structural Biology and NMR Laboratory, Department of Biology
Palacky University Olomouc
University of Copenhagen
Single Molecule Analysis Group and Center for RNA Biomedicine, Department of Chemistry
AuthorAffiliation_xml – name: Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science
– name: University of Michigan
– name: Single Molecule Analysis Group and Center for RNA Biomedicine, Department of Chemistry
– name: Palacky University Olomouc
– name: University of Copenhagen
– name: Institute of Biophysics of the Czech Academy of Sciences
– name: Structural Biology and NMR Laboratory, Department of Biology
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  orcidid: 0000-0002-1066-5677
  surname: Otyepka
  fullname: Otyepka, Michal
  organization: Palacky University Olomouc
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29297679$$D View this record in MEDLINE/PubMed
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PublicationTitle Chemical reviews
PublicationTitleAlternate Chem. Rev
PublicationYear 2018
Publisher American Chemical Society
Publisher_xml – name: American Chemical Society
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Snippet With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are...
With both catalytic and genetic functions, ribonucleic acid (RNA) is perhaps the most pluripotent chemical species in molecular biology, and its functions are...
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SubjectTerms Catalysis
Chemical speciation
Computer Simulation
Decoding
DNA - chemistry
Dynamic structural analysis
Molecular biology
Molecular chemistry
Molecular dynamics
Molecular Dynamics Simulation
Molecules
Nucleic Acid Conformation
Oligonucleotides
Organic chemistry
Proteins
Review
Ribonucleic acid
RNA
RNA - chemistry
Sampling methods
Simulation
Spatial resolution
Title RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview
URI http://dx.doi.org/10.1021/acs.chemrev.7b00427
https://www.ncbi.nlm.nih.gov/pubmed/29297679
https://www.proquest.com/docview/2099978447
https://search.proquest.com/docview/1984243994
https://pubmed.ncbi.nlm.nih.gov/PMC5920944
Volume 118
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