The importance of RNA tertiary structure is evident from the growing number of published high resolution NMR and X-ray crystallographic
structures of RNA molecules. These structures provide insights into function and create a knowledge base that is leveraged
by programs such as Assemble, ModeRNA, RNABuilder, NAST, FARNA, Mc-Sym, RNA2D3D, and iFoldRNA for tertiary structure prediction
and design. While these methods sample native-like RNA structures during simulations, all struggle to capture the native RNA
conformation after scoring. The authors propose RSIM, an improved RNA fragment assembly method that preserves RNA global secondary
structure while sampling conformations. This approach enhances the quality of predicted RNA tertiary structure, provides insights
into the native state dynamics, and generates a powerful visualization of the RNA conformational space.