The 3D structure of a protein can be predicted from its amino acid sequence with high
accuracy for a large fraction of cases because of the availability of large quantities of …

Protein structure prediction has long been available as an alternative to experimental
structure determination, especially via homology modeling based on templates from related …

The quality of model structures generated by contemporary protein structure prediction
methods strongly depends on the degree of similarity between the target and available …

Three-dimensional protein structures provide invaluable information for understanding and
regulating biological functions of proteins. The GalaxyWEB server predicts protein structure …

CASP (critical assessment of structure prediction) assesses the state of the art in modeling
protein structure from amino acid sequence. The most recent experiment (CASP13 held in …

Critical assessment of structure prediction (CASP) is a community experiment to advance
methods of computing three‐dimensional protein structure from amino acid sequence. Core …

The prediction of interresidue contacts and distances from coevolutionary data using deep
learning has considerably advanced protein structure prediction. Here, we build on these …

Protein structure prediction provides valuable insights into function, and comparative
modeling is one of the most reliable methods to predict 3D structures directly from amino …

Modeling of protein structure from amino acid sequence now plays a major role in structural
biology. Here we report new developments and progress from the CASP11 community …

The trRosetta (transform-restrained Rosetta) server is a web-based platform for fast and
accurate protein structure prediction, powered by deep learning and Rosetta. With the input …