Literature DB >> 27704698

Advances in RNA molecular dynamics: a simulator's guide to RNA force fields.

Sweta Vangaveti1, Srivathsan V Ranganathan1, Alan A Chen1,2.   

Abstract

Molecular simulations have become an essential tool for biochemical research. When they work properly, they are able to provide invaluable interpretations of experimental results and ultimately provide novel, experimentally testable predictions. Unfortunately, not all simulation models are created equal, and with inaccurate models it becomes unclear what is a bona fide prediction versus a simulation artifact. RNA models are still in their infancy compared to the many robust protein models that are widely in use, and for that reason the number of RNA force field revisions in recent years has been rapidly increasing. As there is no universally accepted 'best' RNA force field at the current time, RNA simulators must decide which one is most suited to their purposes, cognizant of its essential assumptions and their inherent strengths and weaknesses. Hopefully, armed with a better understanding of what goes inside the simulation 'black box,' RNA biochemists can devise novel experiments and provide crucial thermodynamic and structural data that will guide the development and testing of improved RNA models. WIREs RNA 2017, 8:e1396. doi: 10.1002/wrna.1396 For further resources related to this article, please visit the WIREs website.
© 2016 Wiley Periodicals, Inc.

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Year:  2016        PMID: 27704698     DOI: 10.1002/wrna.1396

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev RNA        ISSN: 1757-7004            Impact factor:   9.957


  12 in total

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

Authors:  Yen-Lin Chen; Tongsik Lee; Ron Elber; Lois Pollack
Journal:  Biophys J       Date:  2018-11-22       Impact factor: 4.033

2.  Improving the Performance of the Amber RNA Force Field by Tuning the Hydrogen-Bonding Interactions.

Authors:  Petra Kührová; Vojtěch Mlýnský; Marie Zgarbová; Miroslav Krepl; Giovanni Bussi; Robert B Best; Michal Otyepka; Jiří Šponer; Pavel Banáš
Journal:  J Chem Theory Comput       Date:  2019-04-02       Impact factor: 6.006

3.  Determinants of Oligonucleotide Selectivity of APOBEC3B.

Authors:  Jeffrey R Wagner; Özlem Demir; Michael A Carpenter; Hideki Aihara; Daniel A Harki; Reuben S Harris; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2018-09-10       Impact factor: 4.956

4.  Surprising Sequence Effects on GU Closure of Symmetric 2 × 2 Nucleotide RNA Internal Loops.

Authors:  Kyle D Berger; Scott D Kennedy; Susan J Schroeder; Brent M Znosko; Hongying Sun; David H Mathews; Douglas H Turner
Journal:  Biochemistry       Date:  2018-03-23       Impact factor: 3.162

Review 5.  The dynamic, motile and deformative properties of RNA nanoparticles facilitate the third milestone of drug development.

Authors:  Xin Li; Abhjeet S Bhullar; Daniel W Binzel; Peixuan Guo
Journal:  Adv Drug Deliv Rev       Date:  2022-05-05       Impact factor: 17.873

6.  Insilico direct folding of thrombin-binding aptamer G-quadruplex at all-atom level.

Authors:  Changwon Yang; Mandar Kulkarni; Manho Lim; Youngshang Pak
Journal:  Nucleic Acids Res       Date:  2017-12-15       Impact factor: 16.971

7.  Importance of amino acids Leu135 and Tyr236 for the interaction between EhCFIm25 and RNA: a molecular dynamics simulation study.

Authors:  Juan David Ospina-Villa; Juan García-Contreras; Jorge Luis Rosas-Trigueros; Esther Ramírez-Moreno; César López-Camarillo; Beatriz Zamora-López; Laurence A Marchat; Absalom Zamorano-Carrillo
Journal:  J Mol Model       Date:  2018-07-12       Impact factor: 1.810

8.  Structural Studies of the 3',3'-cGAMP Riboswitch Induced by Cognate and Noncognate Ligands Using Molecular Dynamics Simulation.

Authors:  Chaoqun Li; Xiaojia Zhao; Xiaomin Zhu; Pengtao Xie; Guangju Chen
Journal:  Int J Mol Sci       Date:  2018-11-09       Impact factor: 5.923

9.  Optimized Magnesium Force Field Parameters for Biomolecular Simulations with Accurate Solvation, Ion-Binding, and Water-Exchange Properties in SPC/E, TIP3P-fb, TIP4P/2005, TIP4P-Ew, and TIP4P-D.

Authors:  Kara K Grotz; Nadine Schwierz
Journal:  J Chem Theory Comput       Date:  2021-12-09       Impact factor: 6.006

Review 10.  Advanced Methods for Studying Structure and Interactions of Macrolide Antibiotics.

Authors:  Tomislav Jednačak; Ivana Mikulandra; Predrag Novak
Journal:  Int J Mol Sci       Date:  2020-10-21       Impact factor: 5.923

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