Most proteins in cells are composed of multiple folding units (or domains) to perform
complex functions in a cooperative manner. Relative to the rapid progress in single-domain …

The study of proteins circulating in blood offers tremendous opportunities to diagnose,
stratify, or possibly prevent diseases. With recent technological advances and the urgent …

Interpreting electron cryo-microscopy (cryo-EM) maps with atomic models requires high
levels of expertise and labour-intensive manual intervention in three-dimensional computer …

Cryo-EM has emerged as the most important technique for structure determination of
macromolecular complexes. However, raw cryo-EM maps often exhibit loss of contrast at …

Deep-learning (DL) methods like DeepMind's AlphaFold2 (AF2) have led to substantial
improvements in protein structure prediction. We analyse confident AF2 models from 21 …

Advances in microscopy instruments and image processing algorithms have led to an
increasing number of cryo-electron microscopy (cryo-EM) maps. However, building accurate …

Recognition of remote homologous structures is a necessary module in AlphaFold2 and is
also essential for the exploration of protein folding pathways. Here, we propose a method …

Obtaining an accurate description of protein structure is a fundamental step toward
understanding the underpinning of biology. Although recent advances in experimental …

Accurately capturing domain-domain interactions is key to understanding protein function
and designing structure-based drugs. Although AlphaFold2 has made a breakthrough on …

Motivation Protein model quality assessment is a key component of protein structure
prediction. In recent research, the voxelization feature was used to characterize the local …