Modeling RNA Folding Pathways and Intermediates Using Time-Resolved Hydroxyl Radical Footprinting Data

Chapter
Part of the Nucleic Acids and Molecular Biology book series (NUCLEIC, volume 27)

Abstract

The analysis of time-resolved hydroxyl radical (OH) footprinting data can reveal the complex and rugged folding landscape of an RNA molecule. This analysis requires the identification and subsequent optimization of a kinetic model and its parameters. The number of possible kinetic models increases factorially with the complexity of the molecule, complicating the modeling process. We detail here a computational approach that allows complex models involving up to five kinetic intermediates to be run on a desktop computer. Our approach involves an initial “model-free” analysis of the data, which reduces the computational complexity of the subsequent kinetic parameter optimization. Our method is able to systematically identify the best fitting kinetic model and reveals the underlying folding mechanism of an RNA.

Keywords

Kinetic Model Progress Curve State Curve Counterion Concentration Folding Reaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank Michael Brenowitz and Joerg Schlatterer for their insightful discussions and comments during the preparation of this chapter. This work is supported by the US National Institutes of Health, NIGMS R00 079953 grant to A.L. Source code, and example data sets can be downloaded from https://simtk.org/home/KinFold.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Joshua S. Martin
    • 1
  • Paul Mitiguy
    • 2
  • Alain Laederach
    • 1
  1. 1.Department of BiologyUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2.Department of Mechanical EngineeringStanford UniversityStanfordUSA

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