Literature DB >> 22116780

Molecular Mechanics Investigation of an Adenine-Adenine Non-Canonical Pair Conformational Change.

Keith P Van Nostrand1, Scott D Kennedy, Douglas H Turner, David H Mathews.   

Abstract

Conformational changes are important in RNA for binding and catalysis and understanding these changes is important for understanding how RNA functions. Computational techniques using all-atom molecular models can be used to characterize conformational changes in RNA. These techniques are applied to an RNA conformational change involving a single base pair within a nine base pair RNA duplex. The Adenine-Adenine (AA) non-canonical pair in the sequence 5'GGUGAAGGCU3' paired with 3'PCCGAAGCCG5', where P is Purine, undergoes conformational exchange between two conformations on the timescale of tens of microseconds, as demonstrated in a previous NMR solution structure [Chen, G., et al., Biochemistry, 2006. 45: 6889-903]. The more populated, major, conformation was estimated to be 0.5 to 1.3 kcal/mol more stable at 30 °C than the less populated, minor, conformation. Both conformations are trans-Hoogsteen/sugar edge pairs, where the interacting edges on the adenines change with the conformational change. Targeted Molecular Dynamics (TMD) and Nudged Elastic Band (NEB) were used to model the pathway between the major and minor conformations using the AMBER software package. The adenines were predicted to change conformation via intermediates in which they are stacked as opposed to hydrogen-bonded. The predicted pathways can be described by an improper dihedral angle reaction coordinate. Umbrella sampling along the reaction coordinate was performed to model the free energy profile for the conformational change using a total of 1800 ns of sampling. Although the barrier height between the major and minor conformations was reasonable, the free energy difference between the major and minor conformations was the opposite of that expected based on the NMR experiments. Variations in the force field applied did not improve the misrepresentation of the free energies of the major and minor conformations. As an alternative, the Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) approximation was applied to predict free energy differences between the two conformations using a total of 800 ns of sampling. MM-PBSA also incorrectly predicted the major conformation to be higher in free energy than the minor conformation.

Entities:  

Year:  2011        PMID: 22116780      PMCID: PMC3221466          DOI: 10.1021/ct200223q

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


  43 in total

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2.  Geometric nomenclature and classification of RNA base pairs.

Authors:  N B Leontis; E Westhof
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4.  Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

Authors:  Ray Luo; Laurent David; Michael K Gilson
Journal:  J Comput Chem       Date:  2002-10       Impact factor: 3.376

Review 5.  RNA folding: thermodynamic and molecular descriptions of the roles of ions.

Authors:  David E Draper
Journal:  Biophys J       Date:  2008-10-03       Impact factor: 4.033

6.  Free energy profile of RNA hairpins: a molecular dynamics simulation study.

Authors:  Nan-Jie Deng; Piotr Cieplak
Journal:  Biophys J       Date:  2010-02-17       Impact factor: 4.033

7.  Non-canonical interactions in a kissing loop complex: the dimerization initiation site of HIV-1 genomic RNA.

Authors:  J C Paillart; E Westhof; C Ehresmann; B Ehresmann; R Marquet
Journal:  J Mol Biol       Date:  1997-07-04       Impact factor: 5.469

8.  Targeted molecular dynamics: a new approach for searching pathways of conformational transitions.

Authors:  J Schlitter; M Engels; P Krüger
Journal:  J Mol Graph       Date:  1994-06

9.  An RNA molecular switch: Intrinsic flexibility of 23S rRNA Helices 40 and 68 5'-UAA/5'-GAN internal loops studied by molecular dynamics methods.

Authors:  Kamila Réblová; Zora Střelcová; Petr Kulhánek; Ivana Beššeová; David H Mathews; Keith Van Nostrand; Ilyas Yildirim; Douglas H Turner; Jiří Sponer
Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

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  7 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-08       Impact factor: 11.205

Review 2.  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

3.  The Amber ff99 Force Field Predicts Relative Free Energy Changes for RNA Helix Formation.

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Journal:  J Chem Theory Comput       Date:  2012-06-05       Impact factor: 6.006

4.  Secondary structure of a conserved domain in an intron of influenza A M1 mRNA.

Authors:  Tian Jiang; Scott D Kennedy; Walter N Moss; Elzbieta Kierzek; Douglas H Turner
Journal:  Biochemistry       Date:  2014-08-06       Impact factor: 3.162

5.  Revised RNA Dihedral Parameters for the Amber Force Field Improve RNA Molecular Dynamics.

Authors:  Asaminew H Aytenfisu; Aleksandar Spasic; Alan Grossfield; Harry A Stern; David H Mathews
Journal:  J Chem Theory Comput       Date:  2017-01-24       Impact factor: 6.006

Review 6.  Dynamical Signatures of Multifunnel Energy Landscapes.

Authors:  David J Wales
Journal:  J Phys Chem Lett       Date:  2022-07-08       Impact factor: 6.888

7.  Modified Amber Force Field Correctly Models the Conformational Preference for Tandem GA pairs in RNA.

Authors:  Asaminew H Aytenfisu; Aleksandar Spasic; Matthew G Seetin; John Serafini; David H Mathews
Journal:  J Chem Theory Comput       Date:  2014-01-22       Impact factor: 6.006

  7 in total

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