The protein structure prediction problem has been solved for many types of proteins by
AlphaFold. Recently, there has been considerable excitement to build off the success of …

Prediction categories in the Critical Assessment of Structure Prediction (CASP) experiments
change with the need to address specific problems in structure modeling. In CASP15, four …

Accurate RNA structure models are crucial for designing small molecule ligands that
modulate their functions. This study assesses six standalone RNA 3D structure prediction …

Motivation The development of algorithms dedicated to RNA three-dimensional (3D)
structures contributes to the demand for training, testing and benchmarking data. A reliable …

RNA is a unique biomolecule that is involved in a variety of fundamental biological functions,
all of which depend solely on its structure and dynamics. Since the experimental …

Alignment of 3D molecular structures involves overlaying their sets of atoms in space in such
a way as to minimize the distance between the corresponding atoms. The purpose of this …

Computational methods to predict RNA 3D structure have more and more practical
applications in molecular biology and medicine. Therefore, it is crucial to intensify efforts to …

Motivation Knowledge of the 3D structure of RNA supports discovering its functions and is
crucial for designing drugs and modern therapeutic solutions. Thus, much attention is …

Abstract Knowledge-based statistical potentials are very important for RNA 3-dimensional
(3D) structure prediction and evaluation. In recent years, various coarse-grained (CG) and …

Advances in experimental and computational techniques enable the exploration of large
and complex RNA 3D structures. These, in turn, reveal previously unstudied properties and …