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 …

The prediction of RNA three‐dimensional structures remains an unsolved problem. Here, we
report assessments of RNA structure predictions in CASP15, the first CASP exercise that …

RNAs are fundamental in living cells and perform critical functions determined by their
tertiary architectures. However, accurate modeling of 3D RNA structure remains a …

In CASP15, 87 predictors submitted around 11 000 models on 41 assembly targets. The
community demonstrated exceptional performance in overall fold and interface contact …

CASP15 introduced a new category, ligand prediction, where participants were provided
with a protein or nucleic acid sequence, SMILES line notation, and stoichiometry for ligands …

The first RNA category of the Critical Assessment of Techniques for Structure Prediction
competition was only made possible because of the scientists who provided experimental …

For the first time, the 2022 CASP (Critical Assessment of Structure Prediction) community
experiment included a section on computing multiple conformations for protein and RNA …

Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

With advances in protein structure prediction thanks to deep learning models like AlphaFold,
RNA structure prediction has recently received increased attention from deep learning …

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 …