Determining structures of RNA conformers using AFM and deep neural networks.

ABSTRACT: Much of the human genome is transcribed into RNAs¹, many of which contain structural elements that are important for their function. Such RNA molecules-including those that are structured and well-folded²-are conformationally heterogeneous and flexible, which is a prerequisite for function^3,4, but this limits the applicability of methods such as NMR, crystallography and cryo-electron microscopy for structure elucidation. Moreover, owing to the lack of a large RNA structure database, and no clear correlation between sequence and structure, approaches such as AlphaFold⁵ for protein structure prediction do not apply to RNA. Therefore, determining the structures of heterogeneous RNAs remains an unmet challenge. Here we report holistic RNA structure d

SUBMITTER: Degenhardt MFS 

PROVIDER: S-EPMC11779638 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature