Literature DB >> 26580373

Comparison of ab Initio, DFT, and Semiempirical QM/MM Approaches for Description of Catalytic Mechanism of Hairpin Ribozyme.

Vojtěch Mlýnský1, Pavel Banáš1, Jiří Šponer2,3, Marc W van der Kamp4, Adrian J Mulholland4, Michal Otyepka1.   

Abstract

We have analyzed the capability of state-of-the-art multiscale computational approaches to provide atomic-resolution electronic structure insights into possible catalytic scenarios of the hairpin ribozyme by evaluating potential and free energy surfaces of the reactions by various hybrid QM/MM methods. The hairpin ribozyme is a unique catalytic RNA that achieves rate acceleration similar to other small self-cleaving ribozymes but without direct metal ion participation. Guanine 8 (G8) and adenine 38 (A38) have been identified as the catalytically essential nucleobases. However, their exact catalytic roles are still being investigated. In line with the available experimental data, we considered two reaction scenarios involving protonated A38H(+) as a general acid which is further assisted by either canonical G8 or deprotonated G8(-) forms. We used the spin-component scaled Møller-Plesset (SCS-MP2) method at the complete basis set limit as the reference method. The semiempirical AM1/d-PhoT and SCC-DFTBPR methods provided acceptable activation barriers with respect to the SCS-MP2 data but predicted significantly different reaction pathways. DFT functionals (BLYP and MPW1K) yielded the same reaction pathway as the SCS-MP2 method. The activation barriers were slightly underestimated by the GGA BLYP functional, although with accuracy comparable to the semiempirical methods. The SCS-MP2 method and hybrid MPW1K functional gave activation barriers that were closest to those derived from experimentally measured rate constants.

Entities:  

Year:  2014        PMID: 26580373     DOI: 10.1021/ct401015e

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


  12 in total

1.  Thermodynamics and kinetics of RNA tertiary structure formation in the junctionless hairpin ribozyme.

Authors:  Neil A White; Charles G Hoogstraten
Journal:  Biophys Chem       Date:  2017-07-08       Impact factor: 2.352

2.  Perspective: Quantum mechanical methods in biochemistry and biophysics.

Authors:  Qiang Cui
Journal:  J Chem Phys       Date:  2016-10-14       Impact factor: 3.488

3.  Chemical feasibility of the general acid/base mechanism of glmS ribozyme self-cleavage.

Authors:  Matúš Dubecký; Nils G Walter; Jiří Šponer; Michal Otyepka; Pavel Banáš
Journal:  Biopolymers       Date:  2015-10       Impact factor: 2.505

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.  Ambient-Potential Composite Ewald Method for ab Initio Quantum Mechanical/Molecular Mechanical Molecular Dynamics Simulation.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2016-05-26       Impact factor: 6.006

6.  The role of an active site Mg(2+) in HDV ribozyme self-cleavage: insights from QM/MM calculations.

Authors:  Vojtěch Mlýnský; Nils G Walter; Jiří Šponer; Michal Otyepka; Pavel Banáš
Journal:  Phys Chem Chem Phys       Date:  2015-01-07       Impact factor: 3.676

Review 7.  Carbon Nanodots from an In Silico Perspective.

Authors:  Francesca Mocci; Leon de Villiers Engelbrecht; Chiara Olla; Antonio Cappai; Maria Francesca Casula; Claudio Melis; Luigi Stagi; Aatto Laaksonen; Carlo Maria Carbonaro
Journal:  Chem Rev       Date:  2022-08-10       Impact factor: 72.087

8.  QM/MM free energy simulations: recent progress and challenges.

Authors:  Xiya Lu; Dong Fang; Shingo Ito; Yuko Okamoto; Victor Ovchinnikov; Qiang Cui
Journal:  Mol Simul       Date:  2016-07-05       Impact factor: 2.178

9.  CADEE: Computer-Aided Directed Evolution of Enzymes.

Authors:  Beat Anton Amrein; Fabian Steffen-Munsberg; Ireneusz Szeler; Miha Purg; Yashraj Kulkarni; Shina Caroline Lynn Kamerlin
Journal:  IUCrJ       Date:  2017-01-01       Impact factor: 4.769

Review 10.  Metal Fluorides: Tools for Structural and Computational Analysis of Phosphoryl Transfer Enzymes.

Authors:  Yi Jin; Robert W Molt; G Michael Blackburn
Journal:  Top Curr Chem (Cham)       Date:  2017-03-15
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