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Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields
Recent modifications and improvements to standard nucleic acid force fields have attempted to fix problems and issues that have been observed as longer timescale simulations have become routine. Although previous work has shown the ability to fold the UUCG stem–loop structure, until now no group has...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536319/ https://www.ncbi.nlm.nih.gov/pubmed/26124199 http://dx.doi.org/10.1261/rna.051102.115 |
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author | Bergonzo, Christina Henriksen, Niel M. Roe, Daniel R. Cheatham, Thomas E. |
author_facet | Bergonzo, Christina Henriksen, Niel M. Roe, Daniel R. Cheatham, Thomas E. |
author_sort | Bergonzo, Christina |
collection | PubMed |
description | Recent modifications and improvements to standard nucleic acid force fields have attempted to fix problems and issues that have been observed as longer timescale simulations have become routine. Although previous work has shown the ability to fold the UUCG stem–loop structure, until now no group has attempted to quantify the performance of current force fields using highly converged structural populations of the tetraloop conformational ensemble. In this study, we report the use of multiple independent sets of multidimensional replica exchange molecular dynamics (M-REMD) simulations with different initial conditions to generate well-converged conformational ensembles for the tetranucleotides r(GACC) and r(CCCC), as well as the larger UUCG tetraloop motif. By generating what is to our knowledge the most complete RNA structure ensembles reported to date for these systems, we remove the coupling between force field errors and errors due to incomplete sampling, providing a comprehensive comparison between current top-performing MD force fields for RNA. Of the RNA force fields tested in this study, none demonstrate the ability to correctly identify the most thermodynamically stable structure for all three systems. We discuss the deficiencies present in each potential function and suggest areas where improvements can be made. The results imply that although “short” (nsec-μsec timescale) simulations may stay close to their respective experimental structures and may well reproduce experimental observables, inevitably the current force fields will populate alternative incorrect structures that are more stable than those observed via experiment. |
format | Online Article Text |
id | pubmed-4536319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45363192015-09-01 Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields Bergonzo, Christina Henriksen, Niel M. Roe, Daniel R. Cheatham, Thomas E. RNA Article Recent modifications and improvements to standard nucleic acid force fields have attempted to fix problems and issues that have been observed as longer timescale simulations have become routine. Although previous work has shown the ability to fold the UUCG stem–loop structure, until now no group has attempted to quantify the performance of current force fields using highly converged structural populations of the tetraloop conformational ensemble. In this study, we report the use of multiple independent sets of multidimensional replica exchange molecular dynamics (M-REMD) simulations with different initial conditions to generate well-converged conformational ensembles for the tetranucleotides r(GACC) and r(CCCC), as well as the larger UUCG tetraloop motif. By generating what is to our knowledge the most complete RNA structure ensembles reported to date for these systems, we remove the coupling between force field errors and errors due to incomplete sampling, providing a comprehensive comparison between current top-performing MD force fields for RNA. Of the RNA force fields tested in this study, none demonstrate the ability to correctly identify the most thermodynamically stable structure for all three systems. We discuss the deficiencies present in each potential function and suggest areas where improvements can be made. The results imply that although “short” (nsec-μsec timescale) simulations may stay close to their respective experimental structures and may well reproduce experimental observables, inevitably the current force fields will populate alternative incorrect structures that are more stable than those observed via experiment. Cold Spring Harbor Laboratory Press 2015-09 /pmc/articles/PMC4536319/ /pubmed/26124199 http://dx.doi.org/10.1261/rna.051102.115 Text en © 2015 Bergonzo et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by/4.0/ This article, published in RNA, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bergonzo, Christina Henriksen, Niel M. Roe, Daniel R. Cheatham, Thomas E. Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields |
title | Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields |
title_full | Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields |
title_fullStr | Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields |
title_full_unstemmed | Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields |
title_short | Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields |
title_sort | highly sampled tetranucleotide and tetraloop motifs enable evaluation of common rna force fields |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536319/ https://www.ncbi.nlm.nih.gov/pubmed/26124199 http://dx.doi.org/10.1261/rna.051102.115 |
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