Pairing a high-resolution statistical potential with a nucleobase-centric sampling algorithm for improving RNA model refinement

Abstract

Predicting RNA structure from sequence is challenging due to the relative sparsity of experimentally-determined RNA 3D structures for model training. Here, the authors propose a way to incorporate knowledge on interactions at the atomic and base–base level to refine the prediction of RNA structures.