Mining for recurrent long-range interactions in RNA structures reveals embedded hierarchies in network families.

ABSTRACT: The wealth of the combinatorics of nucleotide base pairs enables RNA molecules to assemble into sophisticated interaction networks, which are used to create complex 3D substructures. These interaction networks are essential to shape the 3D architecture of the molecule, and also to provide the key elements to carry molecular functions such as protein or ligand binding. They are made of organised sets of long-range tertiary interactions which connect distinct secondary structure elements in 3D structures. Here, we present a de novo data-driven approach to extract automatically from large data sets of full RNA 3D structures the recurrent interaction networks (RINs). Our methodology enables us for the first time to detect the interaction networks connecting distinct components of the RNA struc

SUBMITTER: Reinharz V 

PROVIDER: S-EPMC5934684 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature