Literature DB >> 26574427

Stacking Free Energies of All DNA and RNA Nucleoside Pairs and Dinucleoside-Monophosphates Computed Using Recently Revised AMBER Parameters and Compared with Experiment.

Reid F Brown1, Casey T Andrews1, Adrian H Elcock1.   

Abstract

We report the results of a series of 1-μs-long explicit-solvent molecular dynamics (MD) simulations performed to compare the free energies of stacking (ΔGstack) of all possible combinations of DNA and RNA nucleoside (NS) pairs and dinucleoside-monophosphates (DNMPs). For both NS pairs and DNMPs, we show that the computed stacking free energies are in reasonable qualitative agreement with experimental measurements and appear to provide the closest correspondence with experimental data yet found among computational studies; in all cases, however, the computed stacking free energies are too favorable relative to experimental data. Comparisons of NS-pair systems indicate that stacking interactions are very similar in RNA and DNA systems except when a thymine or uracil base is involved: the presence of a thymine base favors stacking by ∼0.3 kcal/mol relative to a uracil base. One exception is found in the self-stacking of cytidines, which are found to be significantly more favorable for the DNA form; an analysis of the rotational orientations sampled during stacking events suggests that this is likely to be due to more favorable sugar-sugar interactions in stacked complexes of deoxycytidines. Comparisons of the DNMP systems indicate that stacking interactions are more favorable in RNA than in DNA except, again, when thymine or uracil bases are involved. Finally, additional simulations performed using a previous generation of the AMBER force field-in which the description of glycosidic bond rotations was less than optimal-produce computed stacking free energies that are in poorer agreement with experimental data. Overall, the simulations provide a comprehensive view of stacking thermodynamics in NS pairs and in DNMPs as predicted by a state-of-the-art MD force field.

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Year:  2015        PMID: 26574427      PMCID: PMC4651843          DOI: 10.1021/ct501170h

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


  58 in total

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Authors:  M E Burkard; R Kierzek; D H Turner
Journal:  J Mol Biol       Date:  1999-07-30       Impact factor: 5.469

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Journal:  J Am Chem Soc       Date:  1984       Impact factor: 15.419

Review 3.  Fundamental interactions in RNA: Questions answered and remaining.

Authors:  Douglas H Turner
Journal:  Biopolymers       Date:  2013-12       Impact factor: 2.505

4.  Solvent influence on base stacking.

Authors:  J Norberg; L Nilsson
Journal:  Biophys J       Date:  1998-01       Impact factor: 4.033

5.  Simple model to account for the deoxy-versus ribodimer stacking quotient data. Estimation of apparent and intrinsic equilibrium quotients for intramolecular stacking association of purine deoxy- and ribodinucleoside monophosphates.

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Journal:  J Mol Biol       Date:  1983-02-05       Impact factor: 5.469

6.  Osmometric studies on self-association of pyrimidines in aqueous solutions: evidence for involvement of hydrophobic interactions.

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Authors:  J Norberg; L Nilsson
Journal:  Biophys J       Date:  1994-08       Impact factor: 4.033

8.  Base stacking in adenosine dimers revealed by femtosecond transient absorption spectroscopy.

Authors:  Jinquan Chen; Bern Kohler
Journal:  J Am Chem Soc       Date:  2014-04-15       Impact factor: 15.419

9.  Origins of the large differences in stability of DNA and RNA helices: C-5 methyl and 2'-hydroxyl effects.

Authors:  S Wang; E T Kool
Journal:  Biochemistry       Date:  1995-03-28       Impact factor: 3.162

10.  Benchmarking AMBER force fields for RNA: comparisons to NMR spectra for single-stranded r(GACC) are improved by revised χ torsions.

Authors:  Ilyas Yildirim; Harry A Stern; Jason D Tubbs; Scott D Kennedy; Douglas H Turner
Journal:  J Phys Chem B       Date:  2011-07-01       Impact factor: 2.991

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  26 in total

1.  Conformations of an RNA Helix-Junction-Helix Construct Revealed by SAXS Refinement of MD Simulations.

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Journal:  Biophys J       Date:  2018-11-22       Impact factor: 4.033

2.  Mechanism of premature translation termination on a sense codon.

Authors:  Egor Svidritskiy; Gabriel Demo; Andrei A Korostelev
Journal:  J Biol Chem       Date:  2018-06-25       Impact factor: 5.157

3.  Computer Folding of RNA Tetraloops: Identification of Key Force Field Deficiencies.

Authors:  Petra Kührová; Robert B Best; Sandro Bottaro; Giovanni Bussi; Jiří Šponer; Michal Otyepka; Pavel Banáš
Journal:  J Chem Theory Comput       Date:  2016-08-04       Impact factor: 6.006

4.  Free energy analysis and mechanism of base pair stacking in nicked DNA.

Authors:  Florian Häse; Martin Zacharias
Journal:  Nucleic Acids Res       Date:  2016-07-12       Impact factor: 16.971

5.  Predicting the Kinetics of RNA Oligonucleotides Using Markov State Models.

Authors:  Giovanni Pinamonti; Jianbo Zhao; David E Condon; Fabian Paul; Frank Noè; Douglas H Turner; Giovanni Bussi
Journal:  J Chem Theory Comput       Date:  2017-01-05       Impact factor: 6.006

Review 6.  RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

Authors:  Jiří Šponer; Giovanni Bussi; Miroslav Krepl; Pavel Banáš; Sandro Bottaro; Richard A Cunha; Alejandro Gil-Ley; Giovanni Pinamonti; Simón Poblete; Petr Jurečka; Nils G Walter; Michal Otyepka
Journal:  Chem Rev       Date:  2018-01-03       Impact factor: 60.622

Review 7.  Class I and II aminoacyl-tRNA synthetase tRNA groove discrimination created the first synthetase-tRNA cognate pairs and was therefore essential to the origin of genetic coding.

Authors:  Charles W Carter; Peter R Wills
Journal:  IUBMB Life       Date:  2019-06-13       Impact factor: 3.885

Review 8.  New tricks for old dogs: improving the accuracy of biomolecular force fields by pair-specific corrections to non-bonded interactions.

Authors:  Jejoong Yoo; Aleksei Aksimentiev
Journal:  Phys Chem Chem Phys       Date:  2018-03-28       Impact factor: 3.676

9.  How the Conformations of an Internal Junction Contribute to Fold an RNA Domain.

Authors:  Yen-Lin Chen; Julie L Sutton; Lois Pollack
Journal:  J Phys Chem B       Date:  2018-10-17       Impact factor: 2.991

10.  Parametrization of Backbone Flexibility in a Coarse-Grained Force Field for Proteins (COFFDROP) Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of All Possible Two-Residue Peptides.

Authors:  Tamara Frembgen-Kesner; Casey T Andrews; Shuxiang Li; Nguyet Anh Ngo; Scott A Shubert; Aakash Jain; Oluwatoni J Olayiwola; Mitch R Weishaar; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2015-04-30       Impact factor: 6.006

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