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Related Experiment Videos

RNA hairpin-folding kinetics.

Wenbing Zhang1, Shi-Jie Chen

  • 1Department of Physics and Astronomy and Department of Biochemistry, University of Missouri, Columbia, MO 65211, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 14, 2002
PubMed
Summary

A new statistical model predicts RNA hairpin folding rates and pathways by analyzing temperature-dependent kinetics. It reveals distinct folding behaviors above and below a glass transition temperature, T(g), impacting kinetic intermediates and folding dynamics.

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Area of Science:

  • Biophysics
  • Computational Biology
  • RNA Folding Dynamics

Background:

  • Understanding RNA folding is crucial for deciphering biological function.
  • Predicting temperature-dependent folding rates and pathways remains a challenge.
  • Kinetic intermediates and trapping phenomena complicate RNA folding kinetics.

Purpose of the Study:

  • To develop a statistical mechanical model for predicting RNA hairpin folding kinetics.
  • To elucidate the influence of temperature and a glass transition temperature (T(g)) on folding pathways.
  • To investigate the role of kinetic intermediates in RNA hairpin folding.

Main Methods:

  • Developed a statistical mechanical model combining eigenvalue solutions of the rate matrix and free-energy landscapes.

Related Experiment Videos

  • Analyzed temperature-dependent folding rates, kinetic intermediates, and folding pathways for RNA hairpin sequences.
  • Investigated folding dynamics across different temperature regimes relative to T(g) and melting temperature (T(m)).

    • Main Results:

    • The model successfully predicts temperature-dependent folding rates and pathways.
    • Distinct folding behaviors observed above and below T(g): two-state kinetics at T > T(g) and multi-state kinetics with trapping at T < T(g).
    • For T(g) < T < T(m), a two-state on-pathway folding transition involving nucleus formation occurs.
    • For T > T(m), a biphasic unfolding transition is observed.
    • Kinetic trapping at T < T(g) leads to rollover behavior in Arrhenius plots.

    Conclusions:

    • The developed model provides accurate predictions for RNA hairpin folding kinetics.
    • The glass transition temperature (T(g)) critically influences folding pathways and kinetics.
    • RNA hairpin folding dynamics may serve as a model for larger RNA molecules.