Literature DB >> 35283696

Performance of Molecular Mechanics Force Fields for RNA Simulations: Stability of UUCG and GNRA Hairpins.

Pavel Banáš1,2, Daniel Hollas1, Marie Zgarbová1, Petr Jurečka1, Modesto Orozco3, Thomas E Cheatham4, Jiří Šponer1,2, Michal Otyepka1,2.   

Abstract

The RNA hairpin loops represent important RNA topologies with indispensable biological functions in RNA folding and tertiary interactions. 5'-UNCG-3' and 5'-GNRA-3' RNA tetraloops are the most important classes of RNA hairpin loops. Both tetraloops are highly structured with characteristic signature three-dimensional features and are recurrently seen in functional RNAs and ribonucleoprotein particles. Explicit solvent molecular dynamics (MD) simulation is a computational technique which can efficiently complement the experimental data and provide unique structural dynamics information on the atomic scale. Nevertheless, the outcome of simulations is often compromised by imperfections in the parametrization of simplified pairwise additive empirical potentials referred to also as force fields. We have pointed out in several recent studies that a force field description of single-stranded hairpin segments of nucleic acids may be particularly challenging for the force fields. In this paper, we report a critical assessment of a broad set of MD simulations of UUCG, GAGA, and GAAA tetraloops using various force fields. First, we utilized the three widely used variants of Cornell et al. (AMBER) force fields known as ff94, ff99, and ff99bsc0. Some simulations were also carried out with CHARMM27. The simulations reveal several problems which show that these force fields are not able to retain all characteristic structural features (structural signature) of the studied tetraloops. Then we tested four recent reparameterizations of glycosidic torsion of the Cornell et al. force field (two of them being currently parametrized in our laboratories). We show that at least some of the new versions show an improved description of the tetraloops, mainly in the syn glycosidic torsion region of the UNCG tetraloop. The best performance is achieved in combination with the bsc0 parametrization of the α/γ angles. Another critically important region to properly describe RNA molecules is the anti/high-anti region of the glycosidic torsion, where there are significant differences among the tested force fields. The tetraloop simulations are complemented by simulations of short A-RNA stems, which are especially sensitive to an appropriate description of the anti/high-anti region. While excessive accessibility of the high-anti region converts the A-RNA into a senseless "ladder-like" geometry, excessive penalization of the high-anti region shifts the simulated structures away from typical A-RNA geometry to structures with a visibly underestimated inclination of base pairs with respect to the helical axis.

Entities:  

Year:  2010        PMID: 35283696      PMCID: PMC8916691          DOI: 10.1021/ct100481h

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  72 in total

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Authors:  N B Leontis; E Westhof
Journal:  RNA       Date:  2001-04       Impact factor: 4.942

2.  Single Stranded Loops of Quadruplex DNA As Key Benchmark for Testing Nucleic Acids Force Fields.

Authors:  Eva Fadrná; Nad'a Špačková; Joanna Sarzyñska; Jaroslav Koča; Modesto Orozco; Thomas E Cheatham; Tadeusz Kulinski; Jiří Šponer
Journal:  J Chem Theory Comput       Date:  2009-08-19       Impact factor: 6.006

Review 3.  Prediction of RNA secondary structure by free energy minimization.

Authors:  David H Mathews; Douglas H Turner
Journal:  Curr Opin Struct Biol       Date:  2006-05-19       Impact factor: 6.809

4.  Contribution of the closing base pair to exceptional stability in RNA tetraloops: roles for molecular mimicry and electrostatic factors.

Authors:  Joshua M Blose; David J Proctor; Narayanan Veeraraghavan; Vinod K Misra; Philip C Bevilacqua
Journal:  J Am Chem Soc       Date:  2009-06-24       Impact factor: 15.419

5.  Extensive backbone dynamics in the GCAA RNA tetraloop analyzed using 13C NMR spin relaxation and specific isotope labeling.

Authors:  James E Johnson; Charles G Hoogstraten
Journal:  J Am Chem Soc       Date:  2008-12-10       Impact factor: 15.419

6.  Free-energy landscape of RNA hairpins constructed via dihedral angle principal component analysis.

Authors:  Laura Riccardi; Phuong H Nguyen; Gerhard Stock
Journal:  J Phys Chem B       Date:  2009-12-31       Impact factor: 2.991

7.  Detailed analysis of RNA-protein interactions within the ribosomal protein S8-rRNA complex from the archaeon Methanococcus jannaschii.

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Journal:  J Mol Biol       Date:  2001-08-10       Impact factor: 5.469

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Authors:  A A Szewczak; P B Moore; Y L Chang; I G Wool
Journal:  Proc Natl Acad Sci U S A       Date:  1993-10-15       Impact factor: 11.205

9.  The nature of preferred hairpin structures in 16S-like rRNA variable regions.

Authors:  J Wolters
Journal:  Nucleic Acids Res       Date:  1992-04-25       Impact factor: 16.971

10.  Molecular dynamics simulations of sarcin-ricin rRNA motif.

Authors:  Nad'a Spacková; Jirí Sponer
Journal:  Nucleic Acids Res       Date:  2006-02-02       Impact factor: 16.971

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2.  Accurate modeling of RNA hairpins through the explicit treatment of electronic polarizability with the classical Drude oscillator force field.

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5.  Molecular Dynamics Simulations of Protein RNA Complexes by Using an Advanced Electrostatic Model.

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6.  Dynamics of metal binding and mutation in yybP-ykoY riboswitch of Lactococcus lactis.

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7.  Combined Theoretical, Bioinformatic, and Biochemical Analyses of RNA Editing by Adenine Base Editors.

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Review 8.  Emerging Methods and Applications to Decrypt Allostery in Proteins and Nucleic Acids.

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Journal:  J Mol Biol       Date:  2022-02-28       Impact factor: 6.151

9.  Impact of Remdesivir Incorporation along the Primer Strand on SARS-CoV-2 RNA-Dependent RNA Polymerase.

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10.  Cation enrichment in the ion atmosphere is promoted by local hydration of DNA.

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Journal:  Phys Chem Chem Phys       Date:  2021-10-20       Impact factor: 3.945

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