Protein structure prediction is important for understanding their function and behavior. This
review study presents a comprehensive review of the computational models used in …

Deep-learning methods have revolutionized protein structure prediction and design but are
presently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA), which …

Hsp70s are among the most highly conserved proteins in all of biology. Through an iterative
binding and release of exposed hydrophobic residues on client proteins, Hsp70s can …

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 …

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

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

Sarcomeres are force-generating and load-bearing devices of muscles. A precise molecular
picture of how sarcomeres are built underpins understanding their role in health and …

The IntFOLD server based at the University of Reading has been a leading method over the
past decade in providing free access to accurate prediction of protein structures and …

The inheritance of parental histones across the replication fork is thought to mediate
epigenetic memory. Here, we reveal that fission yeast Mrc1 (CLASPIN in humans) binds H3 …

Prediction categories in the Critical Assessment of Structure Prediction (CASP) experiments
change with the need to address specific problems in structure modeling. In CASP15, four …