The mechanism of RNA base fraying: Molecular dynamics simulations analyzed with core-set Markov state models

被引:25
|
作者
Pinamonti, Giovanni [1 ]
Paul, Fabian [2 ]
Noe, Frank [1 ]
Rodriguez, Alex [3 ]
Bussi, Giovanni [4 ]
机构
[1] Freie Univ, Dept Math & Comp Sci, Berlin, Germany
[2] Univ Chicago, Dept Biochem & Mol Biol, Gordon Ctr Integrat Sci, Chicago, IL 60637 USA
[3] Abdus Salaam Int Ctr Theoret Phys, ICTP, Trieste, Italy
[4] Scuola Int Super Studi Avanzati, Via Bonomea 265, Trieste, Italy
基金
欧洲研究理事会; 美国国家卫生研究院;
关键词
FREE-ENERGY CHANGES; FORCE-FIELD; POLYMERASE-II; NUCLEIC-ACIDS; KINETICS; DNA; UUCG;
D O I
10.1063/1.5083227
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The process of RNA base fraying (i.e the transient opening of the termini of a helix) is involved in many aspects of RNA dynamics. We here use molecular dynamics simulations and Markov state models to characterize the kinetics of RNA fraying and its sequence and direction dependence. In particular, we first introduce a method for determining biomolecular dynamics employing core set Markov state models constructed using an advanced clustering technique. The method is validated on previously reported simulations. We then use the method to analyze extensive trajectories for four different RNA model duplexes: Results obtained using D. E. Shaw research and AMBER force fields are compared and discussed in detail and show a non-trivial interplay between the stability of intermediate states and the overall fraying kinetics. Published under license by AIP Publishing.
引用
收藏
页数:9
相关论文
共 22 条
  • [1] Base Pair Fraying in Molecular Dynamics Simulations of DNA and RNA
    Zgarbova, Marie
    Otyepka, Michal
    Sponer, Jiri
    Lankas, Filip
    Jurecka, Petr
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2014, 10 (08) : 3177 - 3189
  • [2] Automated Markov state models for molecular dynamics simulations of aggregation and self-assembly
    Sengupta, Ushnish
    Carballo-Pacheco, Martin
    Strodel, Birgit
    JOURNAL OF CHEMICAL PHYSICS, 2019, 150 (11)
  • [3] Membrane Interactions of α-Synuclein Revealed by Multiscale Molecular Dynamics Simulations, Markov State Models, and NMR
    Amos, Sarah-Beth T. A.
    Schwarz, Thomas C.
    Shi, Jiye
    Cossins, Benjamin P.
    Baker, Terry S.
    Taylor, Richard J.
    Konrat, Robert
    Sansom, Mark S. P.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2021, 125 (11) : 2929 - 2941
  • [4] Ligand Binding Rate Constants in Heme Proteins Using Markov State Models and Molecular Dynamics Simulations
    Bringas, Mauro
    Lombardi, Leandro E.
    Luque, F. Javier
    Estrin, Dario A.
    Capece, Luciana
    CHEMPHYSCHEM, 2019, 20 (19) : 2451 - 2460
  • [5] Molecular Mechanism of Methanol Inhibition in CALB-Catalyzed Alcoholysis: Analyzing Molecular Dynamics Simulations by a Markov State Model
    Carvalho, Henrique F.
    Ferrario, Valerio
    Pleiss, Jurgen
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2021, 17 (10) : 6570 - 6582
  • [6] On the parameterization of rigid base and basepair models of DNA from molecular dynamics simulations
    Lankas, F.
    Gonzalez, O.
    Heffler, L. M.
    Stoll, G.
    Moakher, M.
    Maddocks, J. H.
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2009, 11 (45) : 10565 - 10588
  • [7] The folding mechanism and key metastable state identification of the PrP127-147 monomer studied by molecular dynamics simulations and Markov state model analysis
    Zhou, Shuangyan
    Wang, Qianqian
    Wang, Yuwei
    Yao, Xiaojun
    Han, Wei
    Liu, Huanxiang
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2017, 19 (18) : 11249 - 11259
  • [8] Thermodynamics and kinetics of an A-U RNA base pair under force studied by molecular dynamics simulations
    Yu, Ting
    Liu, Taigang
    Wang, Yujie
    Zhang, Shuhao
    Zhang, Wenbing
    PHYSICAL REVIEW E, 2023, 107 (02)
  • [9] Unfolding mechanism of thrombin-binding aptamer revealed by molecular dynamics simulation and Markov State Model
    Zeng, Xiaojun
    Zhang, Liyun
    Xiao, Xiuchan
    Jiang, Yuanyuan
    Guo, Yanzhi
    Yu, Xinyan
    Pu, Xuemei
    Li, Menglong
    SCIENTIFIC REPORTS, 2016, 6
  • [10] Assessing the feasibility and stability of uracil base flipping in RNA-small molecule complexes using molecular dynamics simulations
    Hagler, Lauren D.
    Bonson, Sarah E.
    Kocheril, Philip A.
    Zimmerman, Steven C.
    CANADIAN JOURNAL OF CHEMISTRY, 2020, 98 (06) : 261 - 269