DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of
Structure Prediction (CASP14) conference. We explored network architectures that …

Homology modelling has matured into an important technique in structural biology,
significantly contributing to narrowing the gap between known protein sequences and …

Abstract Protein–protein interactions (PPIs), such as protein–protein inhibitor, antibody–
antigen complex, and supercomplexes play diverse and important roles in cells. Recent …

This article reports the outcome of the 12th round of Critical Assessment of Structure
Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state …

We present the results for CAPRI Round 50, the fourth joint CASP‐CAPRI protein assembly
prediction challenge. The Round comprised a total of twelve targets, including six dimers …

We present the results for CAPRI Round 54, the 5th joint CASP‐CAPRI protein assembly
prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo …

Deep learning models, such as AlphaFold2 and RosettaFold, enable high-accuracy protein
structure prediction. However, large protein complexes are still challenging to predict due to …

Abstract To enhance the AlphaFold-Multimer-based protein complex structure prediction, we
developed a quaternary structure prediction system (MULTICOM) to improve the input fed to …

We present the seventh report on the performance of methods for predicting the atomic
resolution structures of protein complexes offered as targets to the community‐wide initiative …

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