4.4 Article

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

Journal

RNA
Volume 21, Issue 9, Pages 1578-1590

Publisher

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1261/rna.051102.115

Keywords

enhanced sampling; replica exchange; molecular dynamics; RNA; AMBER; CHARMM; force fields

Funding

  1. National Institutes of Health [R01-GM098102]
  2. National Science Foundation [ACI-1053575, MCA01S027P]
  3. Center for High Performance Computing at the University of Utah
  4. Blue Waters Sustained-Petascale Computing Project [OCI 07-25070, PRAC OCI-1440031]
  5. Direct For Computer & Info Scie & Enginr
  6. Office of Advanced Cyberinfrastructure (OAC) [1440031] Funding Source: National Science Foundation
  7. Direct For Computer & Info Scie & Enginr
  8. Office of Advanced Cyberinfrastructure (OAC) [1515572] Funding Source: National Science Foundation
  9. Direct For Mathematical & Physical Scien
  10. Division Of Chemistry [1266307] Funding Source: National Science Foundation

Ask authors/readers for more resources

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-mu sec 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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