Using motion planning to study RNA folding kinetics

Authors:
Xinyu Tang;Bonnie Kirkpatrick;Shawna Thomas;Guang Song;Nancy M. Amato
Affiliations:
Texas A&M University, College Station, TX;Montana State University, Bozeman, MT;Texas A&M University, College Station, TX;Iowa State University, Ames, IA;Texas A&M University, College Station, TX
Venue:
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Year:
2004

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Abstract

We propose a novel, motion planning based approach to approximately map the energy landscape of an RNA molecule. Our method is based on the successful probabilistic roadmap motion planners that we have previously successfully applied to protein folding. The key advantage of our method is that it provides a sparse map that captures the main features of the landscape and which can be analyzed to compute folding kinetics. In this paper, we provide evidence that this approach is also well suited to RNA. We compute population kinetics and transition rates on our roadmaps using the master equation for a few moderately sized RNA and show that our results compare favorably with results of other existing methods.