Literature DB >> 19450474

A new computational approach for mechanical folding kinetics of RNA hairpins.

Song Cao1, Shi-Jie Chen.   

Abstract

Based on an ensemble of kinetically accessible conformations, we propose a new analytical model for RNA folding kinetics. The model gives populational kinetics, kinetic rates, transition states, and pathways from the rate matrix. Applications of the new kinetic model to mechanical folding of RNA hairpins such as trans-activation-responsive RNA reveal distinct kinetic behaviors in different force regimes, from zero force to forces much stronger than the critical force for the folding-unfolding transition. In the absence of force or a low force, folding can be initiated (nucleated) at any position by forming the first base stack and there exist many pathways for the folding process. In contrast, for a higher force, the folding/unfolding would predominantly proceed along a single zipping/unzipping pathway. Studies for different hairpin-forming sequences indicate that depending on the nucleotide sequence, a kinetic intermediate can emerge in the low force regime but disappear in high force regime, and a new kinetic intermediate, which is absent in the low and high force regimes, can emerge in the medium force range. Variations of the force lead to changes in folding cooperativity and rate-limiting steps. The predicted network of pathways for trans-activation-responsive RNA suggests two parallel dominant pathways. The rate-limiting folding steps (at f = 8 pN) are the formation of specific basepairs that are 2-4 basepairs away from the loop. At a higher force (f = 11 pN), the folding rate is controlled by the formation of the bulge loop. The predicted rates and transition states are in good agreement with the experimental data for a broad force regime.

Mesh:

Substances:

Year:  2009        PMID: 19450474      PMCID: PMC2712198          DOI: 10.1016/j.bpj.2009.02.044

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  52 in total

1.  Force and kinetic barriers to unzipping of the DNA double helix.

Authors:  S Cocco; R Monasson; J F Marko
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-10       Impact factor: 11.205

Review 2.  Single-molecule folding.

Authors:  Xiaowei Zhuang; Matthias Rief
Journal:  Curr Opin Struct Biol       Date:  2003-02       Impact factor: 6.809

Review 3.  Force as a useful variable in reactions: unfolding RNA.

Authors:  Ignacio Tinoco
Journal:  Annu Rev Biophys Biomol Struct       Date:  2004

4.  Force unfolding single RNAs.

Authors:  Fei Liu; Huan Tong; Zhong-Can Ou-Yang
Journal:  Biophys J       Date:  2005-12-30       Impact factor: 4.033

5.  Nanomechanical measurements of the sequence-dependent folding landscapes of single nucleic acid hairpins.

Authors:  Michael T Woodside; William M Behnke-Parks; Kevan Larizadeh; Kevin Travers; Daniel Herschlag; Steven M Block
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-10       Impact factor: 11.205

6.  Force unfolding kinetics of RNA using optical tweezers. I. Effects of experimental variables on measured results.

Authors:  Jin-Der Wen; Maria Manosas; Pan T X Li; Steven B Smith; Carlos Bustamante; Felix Ritort; Ignacio Tinoco
Journal:  Biophys J       Date:  2007-02-09       Impact factor: 4.033

7.  Simulating RNA folding kinetics on approximated energy landscapes.

Authors:  Xinyu Tang; Shawna Thomas; Lydia Tapia; David P Giedroc; Nancy M Amato
Journal:  J Mol Biol       Date:  2008-02-13       Impact factor: 5.469

Review 8.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

Review 9.  RNA folding: conformational statistics, folding kinetics, and ion electrostatics.

Authors:  Shi-Jie Chen
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

10.  Folding kinetics of large RNAs.

Authors:  Michael Geis; Christoph Flamm; Michael T Wolfinger; Andrea Tanzer; Ivo L Hofacker; Martin Middendorf; Christian Mandl; Peter F Stadler; Caroline Thurner
Journal:  J Mol Biol       Date:  2008-03-06       Impact factor: 5.469

View more
  7 in total

1.  Rational truncation of an RNA aptamer to prostate-specific membrane antigen using computational structural modeling.

Authors:  William M Rockey; Frank J Hernandez; Sheng-You Huang; Song Cao; Craig A Howell; Gregory S Thomas; Xiu Ying Liu; Natalia Lapteva; David M Spencer; James O McNamara; Xiaoqin Zou; Shi-Jie Chen; Paloma H Giangrande
Journal:  Nucleic Acid Ther       Date:  2011-10       Impact factor: 5.486

2.  Kinetic Mechanism of RNA Helix-Terminal Basepairing-A Kinetic Minima Network Analysis.

Authors:  Fengfei Wang; Li-Zhen Sun; Pinggen Cai; Shi-Jie Chen; Xiaojun Xu
Journal:  Biophys J       Date:  2019-09-20       Impact factor: 4.033

3.  Predicting Cotranscriptional Folding Kinetics For Riboswitch.

Authors:  Ting-Ting Sun; Chenhan Zhao; Shi-Jie Chen
Journal:  J Phys Chem B       Date:  2018-07-19       Impact factor: 2.991

4.  Folding kinetics for the conformational switch between alternative RNA structures.

Authors:  Song Cao; Boris Fürtig; Harald Schwalbe; Shi-Jie Chen
Journal:  J Phys Chem B       Date:  2010-10-28       Impact factor: 2.991

5.  Mimicking Ribosomal Unfolding of RNA Pseudoknot in a Protein Channel.

Authors:  Xinyue Zhang; Xiaojun Xu; Zhiyu Yang; Andrew J Burcke; Kent S Gates; Shi-Jie Chen; Li-Qun Gu
Journal:  J Am Chem Soc       Date:  2015-12-10       Impact factor: 15.419

Review 6.  RNA and protein 3D structure modeling: similarities and differences.

Authors:  Kristian Rother; Magdalena Rother; Michał Boniecki; Tomasz Puton; Janusz M Bujnicki
Journal:  J Mol Model       Date:  2011-01-22       Impact factor: 1.810

Review 7.  Computational modeling of RNA 3D structures, with the aid of experimental restraints.

Authors:  Marcin Magnus; Dorota Matelska; Grzegorz Lach; Grzegorz Chojnowski; Michal J Boniecki; Elzbieta Purta; Wayne Dawson; Stanislaw Dunin-Horkawicz; Janusz M Bujnicki
Journal:  RNA Biol       Date:  2014-04-23       Impact factor: 4.652

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.