Many proteins exert their function by switching among different structures. Knowing the
conformational ensembles affiliated with these states is critical to elucidate key mechanistic …

Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …

The introduction of AlphaFold 21 has spurred a revolution in modelling the structure of
proteins and their interactions, enabling a huge range of applications in protein modelling …

Abstract AlphaFold2 (ref.) has revolutionized structural biology by accurately predicting
single structures of proteins. However, a protein's biological function often depends on …

Recent breakthroughs have used deep learning to exploit evolutionary information in
multiple sequence alignments (MSAs) to accurately predict protein structures. However …

While AlphaFold2 can predict accurate protein structures from the primary sequence,
challenges remain for proteins that undergo conformational changes or for which few …

Artificial intelligence-driven advances in protein structure prediction in recent years have
raised the question: has the protein structure-prediction problem been solved? Here, with a …

The unprecedented performance of Deepmind's Alphafold2 in predicting protein structure in
CASP XIV and the creation of a database of structures for multiple proteomes and protein …

AlphaFold2 has revolutionized protein structure prediction by leveraging sequence
information to rapidly model protein folds with atomic‐level accuracy. Nevertheless, previous …

The AlphaFold2 neural network model has revolutionized structural biology with
unprecedented performance. We demonstrate that by stochastically perturbing the neural …