Protein structures can provide invaluable information, both for reasoning about biological
processes and for enabling interventions such as structure-based drug development or …

To the Editor—AlphaFold2 is a machine-learning algorithm for protein structure prediction
that has now been used to obtain hundreds of thousands of protein models. The resulting …

Arguably, 2020 was the year of high‐accuracy protein structure predictions, with AlphaFold
2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure …

The protein structure field is experiencing a revolution. From the increased throughput of
techniques to determine experimental structures, to developments such as cryo-EM that …

Recent advances in protein structure prediction have generated accurate structures of
previously uncharacterized human proteins. Identifying domains in these predicted …

The prediction of protein structure from amino acid sequence is a grand challenge of
computational molecular biology. By using a combination of improved low-and high …

Proteins are essential to life, and understanding their structure can facilitate a mechanistic
understanding of their function. Through an enormous experimental effort 1, 2, 3, 4, the …

Protein structure prediction can be used to determine the three-dimensional shape of a
protein from its amino acid sequence. This problem is of fundamental importance as the …

Accurate predictions of the three-dimensional structures of proteins from their amino acid
sequences have come of age. AlphaFold, a deep learning-based approach to protein …

Three-dimensional protein structure is directly correlated with its function and its
determination is critical to understanding biological processes and addressing human …