4.8 Article

Measuring the average shape of transition paths during the folding of a single biological molecule

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1816602116

Keywords

energy landscapes; diffusive reactions; DNA hairpins; optical tweezers

Funding

  1. Natural Sciences and Engineering Research Council Canada
  2. Alberta Innovates Technology Futures
  3. John Simon Guggenheim Foundation

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Transition paths represent the parts of a reaction where the energy barrier separating products and reactants is crossed. They are essential to understanding reaction mechanisms, yet many of their properties remain unstudied. Here, we report measurements of the average shape of transition paths, studying the folding of DNA hairpins as a model system for folding reactions. Individual transition paths were detected in the folding trajectories of hairpins with different sequences held under tension in optical tweezers, and path shapes were computed by averaging all transitions in the time domain, < t(x)>, or by averaging transitions of a given duration in the extension domain, < x(t vertical bar tau)>(tau). Whereas < t(x)> was close to straight, with only a subtle curvature,< x(t vertical bar tau)>(tau) had more pronounced curvature that fit well to theoretical expectations for the dominant transition path, returning diffusion coefficients similar to values obtained previously from independent methods. Simulations suggested that < t(x)> provided a less reliable representation of the path shape than < x(t vertical bar tau)>(tau,) because it was far more sensitive to the effects of coupling the molecule to the experimental force probe. Intriguingly, the path shape variance was larger for some hairpins than others, indicating sequence-dependent changes in the diversity of transition paths reflective of differences in the character of the energy barriers, such as the width of the barrier saddle-point or the presence of parallel paths through multiple barriers between the folded and unfolded states. These studies of average path shapes point the way forward for probing the rich information contained in path shape fluctuations.

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