Literature DB >> 26605485

Understanding RNA Flexibility Using Explicit Solvent Simulations: The Ribosomal and Group I Intron Reverse Kink-Turn Motifs.

Petr Sklenovský1, Petra Florová1, Pavel Banáš1, Kamila Réblová2, Filip Lankaš3, Michal Otyepka1, Jiří Šponer2.   

Abstract

Reverse kink-turn is a recurrent elbow-like RNA building block occurring in the ribosome and in the group I intron. Its sequence signature almost matches that of the conventional kink-turn. However, the reverse and conventional kink-turns have opposite directions of bending. The reverse kink-turn lacks basically any tertiary interaction between its stems. We report unrestrained, explicit solvent molecular dynamics simulations of ribosomal and intron reverse kink-turns (54 simulations with 7.4 μs of data in total) with different variants (ff94, ff99, ff99bsc0, ff99χOL, and ff99bsc0χOL) of the Cornell et al. force field. We test several ion conditions and two water models. The simulations characterize the directional intrinsic flexibility of reverse kink-turns pertinent to their folded functional geometries. The reverse kink-turns are the most flexible RNA motifs studied so far by explicit solvent simulations which are capable at the present simulation time scale to spontaneously and reversibly sample a wide range of geometries from tightly kinked ones through flexible intermediates up to extended, unkinked structures. A possible biochemical role of the flexibility is discussed. Among the tested force fields, the latest χOL variant is essential to obtaining stable trajectories while all force field versions lacking the χ correction are prone to a swift degradation toward senseless ladder-like structures of stems, characterized by high-anti glycosidic torsions. The type of explicit water model affects the simulations considerably more than concentration and the type of ions.

Entities:  

Year:  2011        PMID: 26605485     DOI: 10.1021/ct200204t

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


  20 in total

Review 1.  Molecular modeling of nucleic acid structure: energy and sampling.

Authors:  T E Cheatham; B R Brooks; P A Kollman
Journal:  Curr Protoc Nucleic Acid Chem       Date:  2001-05

2.  Toward Improved Description of DNA Backbone: Revisiting Epsilon and Zeta Torsion Force Field Parameters.

Authors:  Marie Zgarbová; F Javier Luque; Jiří Sponer; Thomas E Cheatham; Michal Otyepka; Petr Jurečka
Journal:  J Chem Theory Comput       Date:  2013-05-14       Impact factor: 6.006

Review 3.  Physics-based all-atom modeling of RNA energetics and structure.

Authors:  Louis G Smith; Jianbo Zhao; David H Mathews; Douglas H Turner
Journal:  Wiley Interdiscip Rev RNA       Date:  2017-09       Impact factor: 9.957

Review 4.  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

5.  Predicting Ion Effects in an RNA Conformational Equilibrium.

Authors:  Li-Zhen Sun; Clayton Kranawetter; Xiao Heng; Shi-Jie Chen
Journal:  J Phys Chem B       Date:  2017-08-21       Impact factor: 2.991

6.  Molecular mechanism of preQ1 riboswitch action: a molecular dynamics study.

Authors:  Pavel Banáš; Petr Sklenovský; Joseph E Wedekind; Jiří Šponer; Michal Otyepka
Journal:  J Phys Chem B       Date:  2012-10-12       Impact factor: 2.991

7.  Predicting RNA-Metal Ion Binding with Ion Dehydration Effects.

Authors:  Li-Zhen Sun; Shi-Jie Chen
Journal:  Biophys J       Date:  2018-12-13       Impact factor: 4.033

8.  Predicting ion-nucleic acid interactions by energy landscape-guided sampling.

Authors:  Zhaojian He; Shi-Jie Chen
Journal:  J Chem Theory Comput       Date:  2012-04-30       Impact factor: 6.006

9.  Isosteric and nonisosteric base pairs in RNA motifs: molecular dynamics and bioinformatics study of the sarcin-ricin internal loop.

Authors:  Marek Havrila; Kamila Réblová; Craig L Zirbel; Neocles B Leontis; Jiří Šponer
Journal:  J Phys Chem B       Date:  2013-11-12       Impact factor: 2.991

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

Authors:  Aleksandar Spasic; John Serafini; David H Mathews
Journal:  J Chem Theory Comput       Date:  2012-06-05       Impact factor: 6.006

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