Here we describe a computational tool, RNA three-dimensional (3D) modules detection, or RMDetect ... RMDetect can be used to refine RNA 2D structure, assemble RNA 3D models, and search and ...

No large RNA structure database exists that correlates sequence with 3D topology. Successful protein-centric methods like AlphaFold remain unavailable for RNA, creating a critical gap in ...

This deep learning-based method utilizes an RNA language model to accurately predict RNA 3D structures. This method addresses the challenges of RNA's intrinsic structural flexibility and the ...

An enzyme type noted in several cancers is the family of adenosine deaminases acting on RNA (ADARs). These enzymes convert ...

and deep-learning techniques to model atomic-level RNA 3D structures from primary RNA sequences. Called DRfold, this novel AI-based method improves the accuracy of RNA models by more than 70 ...

“We don’t know whether RNA structure changes in the context of a virus-infected cell, but do know there is a structural transition in vitro that provides a basis for the first 3D glimpses of ...

Researchers have now uncovered the 3D structure of the RNA enzyme SAMURI. Their study provides insights into the development of ribozymes and the evolution of catalytically active RNA. Researchers ...

RNA identification ... developed a fast detection strategy based on nanoplasmonics, DNA origami, and an optical readout. Light can induce plasmonic waves in nanosized metal structures smaller ...