Diffraction (X-ray, neutron and electron) and electron cryo-microscopy are powerful
methods to determine three-dimensional macromolecular structures, which are required to …

Latent variable models represent the probability density of data in a space of several dimensions
in terms of a smaller number of latent, or hidden, variables. A familiar example is factor …

Background A safe and efficacious vaccine against severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), if deployed with high coverage, could contribute to the control of …

The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object category
recognition and detection, providing the vision and machine learning communities with a …

Background The ChAdOx1 nCoV-19 (AZD1222) vaccine has been approved for emergency
use by the UK regulatory authority, Medicines and Healthcare products Regulatory Agency, …

The Pascal Visual Object Classes (VOC) challenge consists of two components: (i) a
publicly available dataset of images together with ground truth annotation and standardised …

A summary of the technical advances that are incorporated in the fourth major release of the
Q-Chem quantum chemistry program is provided, covering approximately the last seven …

Machine learning usually refers to changes in systems that perform tasks associated with
artificial intelligence (AI). Such tasks involve recognition, diagnosis, planning, robot control, …

Essential hypertension is a common human disease believed to reautt from the interplay of
multiple genetic and environmental determinants. In genetic studies of two large panels of …

This paper describes the current update on macromolecular model validation services that
are provided at the MolProbity website, emphasizing changes and additions since the …