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 ...

For those outside the chemistry cognoscenti, the announcement might have seemed little more than researchers patting each other on the back. But the question of protein folding had plagued scientists ...

Protein hydrophobicity is a fundamental driver of protein folding dynamics, underpinning the formation of a central hydrophobic core that stabilises the three-dimensional structure amid an aqueous ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

Now, a new study has described a potential mechanism that could help explain why some proteins refold in a different pattern than expected. The researchers, led by chemists at Penn State, found that a ...

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...