Advances over the past few years have begun to enable prediction and design of
macromolecular structures at near-atomic accuracy. Progress has stemmed from the …

Machine learning methods are widely used in bioinformatics and computational and
systems biology. Here, we review the development of machine learning methods for protein …

This article reports the outcome of the 12th round of Critical Assessment of Structure
Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state …

SWISS‐MODEL pioneered the field of automated modeling as the first protein modeling
service on the Internet. In combination with the visualization tool Swiss‐PdbViewer, the …

Background Prediction of 3-dimensional protein structures from amino acid sequences
represents one of the most important problems in computational structural biology. The …

Abstract Model quality estimation is an essential component of protein structure prediction,
since ultimately the accuracy of a model determines its usefulness for specific applications …

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 …

Motivation Proteins are ubiquitous molecules whose function in biological processes is
determined by their 3D structure. Experimental identification of a protein's structure can be …

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 …

Background Employing methods to assess the quality of modeled protein structures is now
standard practice in bioinformatics. In a broad sense, the techniques can be divided into …