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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 todoi:10.1145/974614.974648 dblp:conf/recomb/TangKTSA04 fatcat:lmqqoyartzet3kfsd7zaxuhhoa