An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

If the protein folding problem were well and truly solved, Fried would need a new calling. But the more he scrolled the seemingly endless string of news articles, the more the chemist began to realize ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

Aging-related diseases, including cancer, cardiovascular disorders and type 2 diabetes, are associated with defects in ...

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

Researchers at the University of Michigan found that mitochondria also accumulate misfolded proteins, which kills β-cells.

How proteins in our cells attain their correct three-dimensional structure is crucial to their function—and to our health.

Designing protein binders from scratch has long been a daunting challenge within the field of computational biology. Researchers have now developed an innovative, training-free pipeline that uses the ...

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

Aging-related diseases, including cancer, cardiovascular disorders and type 2 diabetes, are associated with defects in protein synthesis and ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.