Recently several techniques have emerged that significantly enhance the quality of
predictions of protein tertiary structures. In this study, we describe the performance of …

The accurate and reliable prediction of the 3D structures of proteins and their assemblies
remains difficult even though the number of solved structures soars and prediction …

When good structural templates can be identified, template-based modeling is the most
reliable way to predict the tertiary structure of proteins. In this study, we combine template …

Biophysical forcefields have contributed less than originally anticipated to recent progress in
protein structure prediction. Here, we have investigated the selectivity of a recently …

Protein sequences have evolved to fold into functional structures, resulting in families of
diverse protein sequences that all share the same overall fold. One can harness protein …

Motivation Predicting protein structures with high accuracy is a critical challenge for the
broad community of life sciences and industry. Despite progress made by deep neural …

The article describes results of numerical evaluation of CASP12 models submitted on
targets for which structural templates could be identified and for which servers produced …

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

In CASP12, 2 types of data‐assisted protein structure modeling were experimented. Either
SAXS experimental data or cross‐linking experimental data was provided for a selected …

Knowledge of protein structures is essential to understand proteins' functions, evolution,
dynamics, stabilities, and interactions and for data-driven protein-or drug design. Yet …