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RNA force field with accuracy comparable to state-of-the-art protein force fields

Molecular dynamics (MD) simulation has become a powerful tool for characterizing at an atomic level of detail the conformational changes undergone by proteins. The application of such simulations to RNA structures, however, has proven more challenging, due in large part to the fact that the physical...

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Detalles Bibliográficos
Autores principales: Tan, Dazhi, Piana, Stefano, Dirks, Robert M., Shaw, David E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816156/
https://www.ncbi.nlm.nih.gov/pubmed/29378935
http://dx.doi.org/10.1073/pnas.1713027115
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author Tan, Dazhi
Piana, Stefano
Dirks, Robert M.
Shaw, David E.
author_facet Tan, Dazhi
Piana, Stefano
Dirks, Robert M.
Shaw, David E.
author_sort Tan, Dazhi
collection PubMed
description Molecular dynamics (MD) simulation has become a powerful tool for characterizing at an atomic level of detail the conformational changes undergone by proteins. The application of such simulations to RNA structures, however, has proven more challenging, due in large part to the fact that the physical models (“force fields”) available for MD simulations of RNA molecules are substantially less accurate in many respects than those currently available for proteins. Here, we introduce an extensive revision of a widely used RNA force field in which the parameters have been modified, based on quantum mechanical calculations and existing experimental information, to more accurately reflect the fundamental forces that stabilize RNA structures. We evaluate these revised parameters through long-timescale MD simulations of a set of RNA molecules that covers a wide range of structural complexity, including single-stranded RNAs, RNA duplexes, RNA hairpins, and riboswitches. The structural and thermodynamic properties measured in these simulations exhibited dramatically improved agreement with experimentally determined values. Based on the comparisons we performed, this RNA force field appears to achieve a level of accuracy comparable to that of state-of-the-art protein force fields, thus significantly advancing the utility of MD simulation as a tool for elucidating the structural dynamics and function of RNA molecules and RNA-containing biological assemblies.
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spelling pubmed-58161562018-02-21 RNA force field with accuracy comparable to state-of-the-art protein force fields Tan, Dazhi Piana, Stefano Dirks, Robert M. Shaw, David E. Proc Natl Acad Sci U S A PNAS Plus Molecular dynamics (MD) simulation has become a powerful tool for characterizing at an atomic level of detail the conformational changes undergone by proteins. The application of such simulations to RNA structures, however, has proven more challenging, due in large part to the fact that the physical models (“force fields”) available for MD simulations of RNA molecules are substantially less accurate in many respects than those currently available for proteins. Here, we introduce an extensive revision of a widely used RNA force field in which the parameters have been modified, based on quantum mechanical calculations and existing experimental information, to more accurately reflect the fundamental forces that stabilize RNA structures. We evaluate these revised parameters through long-timescale MD simulations of a set of RNA molecules that covers a wide range of structural complexity, including single-stranded RNAs, RNA duplexes, RNA hairpins, and riboswitches. The structural and thermodynamic properties measured in these simulations exhibited dramatically improved agreement with experimentally determined values. Based on the comparisons we performed, this RNA force field appears to achieve a level of accuracy comparable to that of state-of-the-art protein force fields, thus significantly advancing the utility of MD simulation as a tool for elucidating the structural dynamics and function of RNA molecules and RNA-containing biological assemblies. National Academy of Sciences 2018-02-13 2018-01-29 /pmc/articles/PMC5816156/ /pubmed/29378935 http://dx.doi.org/10.1073/pnas.1713027115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Tan, Dazhi
Piana, Stefano
Dirks, Robert M.
Shaw, David E.
RNA force field with accuracy comparable to state-of-the-art protein force fields
title RNA force field with accuracy comparable to state-of-the-art protein force fields
title_full RNA force field with accuracy comparable to state-of-the-art protein force fields
title_fullStr RNA force field with accuracy comparable to state-of-the-art protein force fields
title_full_unstemmed RNA force field with accuracy comparable to state-of-the-art protein force fields
title_short RNA force field with accuracy comparable to state-of-the-art protein force fields
title_sort rna force field with accuracy comparable to state-of-the-art protein force fields
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816156/
https://www.ncbi.nlm.nih.gov/pubmed/29378935
http://dx.doi.org/10.1073/pnas.1713027115
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