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      Highly sampled tetranucleotide and tetraloop motifs enable evaluation of common RNA force fields

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          Abstract

          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.

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          Most cited references55

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          Molecular dynamics with coupling to an external bath

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            Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes

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              PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data.

              We describe PTRAJ and its successor CPPTRAJ, two complementary, portable, and freely available computer programs for the analysis and processing of time series of three-dimensional atomic positions (i.e., coordinate trajectories) and the data therein derived. Common tools include the ability to manipulate the data to convert among trajectory formats, process groups of trajectories generated with ensemble methods (e.g., replica exchange molecular dynamics), image with periodic boundary conditions, create average structures, strip subsets of the system, and perform calculations such as RMS fitting, measuring distances, B-factors, radii of gyration, radial distribution functions, and time correlations, among other actions and analyses. Both the PTRAJ and CPPTRAJ programs and source code are freely available under the GNU General Public License version 3 and are currently distributed within the AmberTools 12 suite of support programs that make up part of the Amber package of computer programs (see http://ambermd.org ). This overview describes the general design, features, and history of these two programs, as well as algorithmic improvements and new features available in CPPTRAJ.
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                Author and article information

                Journal
                RNA
                RNA
                RNA
                RNA
                Cold Spring Harbor Laboratory Press
                1355-8382
                1469-9001
                September 2015
                September 2015
                : 21
                : 9
                : 1578-1590
                Affiliations
                Department of Medicinal Chemistry, College of Pharmacy, L.S. Skaggs Pharmacy Research Institute, University of Utah, Salt Lake City, Utah 84112, USA
                Author notes
                [1]

                Present address: Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA 92093-0736, USA

                Corresponding author: tec3@ 123456utah.edu
                Article
                9509184 RA
                10.1261/rna.051102.115
                4536319
                26124199
                87693157-8705-4a14-bf6a-e5a93e74ab61
                © 2015 Bergonzo et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society

                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/.

                History
                : 29 January 2015
                : 3 June 2015
                Funding
                Funded by: National Institutes of Health http://dx.doi.org/10.13039/100000002
                Award ID: R01-GM098102
                Funded by: Blue Waters Sustained-Petascale Computing Project
                Award ID: NSF OCI 07-25070
                Award ID: PRAC OCI-1440031
                Funded by: Extreme Science and Engineering Discovery Environment (XSEDE)
                Funded by: National Science Foundation http://dx.doi.org/10.13039/100000001
                Award ID: ACI-1053575
                Award ID: MCA01S027P
                Funded by: University of Utah http://dx.doi.org/10.13039/100007747
                Categories
                Article

                enhanced sampling,replica exchange,molecular dynamics,rna,amber,charmm,force fields

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