More than three billion years of evolution have produced an image of biology encoded into
the space of natural proteins. Here we show that language models trained on tokens …

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 …

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

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 …

Transformers are a powerful subclass of neural networks catalyzing the development of a
growing number of computational methods for RNA structure modeling. Here, we conduct an …

The 'structure assessment'web server is a one-stop shop for interactive evaluation and
benchmarking of structural models of macromolecular complexes including proteins and …

Protein and nucleic acid binding site prediction is a critical computational task that benefits a
wide range of biological processes. Previous studies have shown that feature selection …