Recent developments in deep learning, coupled with an increasing number of sequenced
proteins, have led to a breakthrough in life science applications, in particular in protein …

Intrinsically disordered proteins (IDPs) constitute a broad set of proteins with few uniting and
many diverging properties. IDPs—and intrinsically disordered regions (IDRs) interspersed …

While the vast majority of well-structured single protein chains can now be predicted to high
accuracy due to the recent AlphaFold model, the prediction of multi-chain protein complexes …

Most proteins fold into 3D structures that determine how they function and orchestrate the
biological processes of the cell. Recent developments in computational methods for protein …

Highly accurate protein structure predictions by deep neural networks such as AlphaFold2
and RoseTTAFold have tremendous impact on structural biology and beyond. Here, we …

AlphaFold changed the field of structural biology by achieving three-dimensional (3D)
structure prediction from protein sequence at experimental quality. The astounding success …

Intrinsically disordered proteins and protein regions make up a substantial fraction of many
proteomes in which they play a wide variety of essential roles. A critical first step in …

Protein interactions are key in vital biological process. In many cases, particularly in
regulation, this interaction is between a protein and a shorter peptide fragment. Such …

Accurate descriptions of protein-protein interactions are essential for understanding
biological systems. Remarkably accurate atomic structures have been recently computed for …

Abstract Information regarding the residue–residue distance between interacting proteins is
important for modelling the structures of protein complexes, as well as being valuable for …