These proteins can have too many conformations for researchers to keep track of, says Kejia Wu, a postdoctoral researcher ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Many proteins are capable of spontaneously rearranging themselves within cells to form molecular condensates—membraneless ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

More than a year ago, computational scientists at the Department of Energy's Oak Ridge National Laboratory published a study ...

A three-decade-old competition that has spawned three Nobel laureates is becoming victim to the chaos at the National Institutes of Health.

The Novo Nordisk Foundation and the Danish State Loan Fund announced on Thursday that they are investing in the world's most ...

A team of researchers at Oak Ridge National Laboratory has published a new study in the Royal Society of Chemistry’s ...

Cognitive decline is a growing concern in aging societies, often impacting memory, attention, and decision-making. For ...

Molecular chaperones play a pivotal role in ensuring proper cellular protein homeostasis through their involvement in protein ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...