Hosted on MSN
New AI-powered method accelerates protein simulations and reveals complex folding dynamics
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 ...
New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding. Subscribe to ...
Recently identified and long-lasting type of protein misfolding — non-native entanglements — observed in all-atom protein folding simulations. Representative misfolded conformations of the small ...
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 ...
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 ...
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 ...
New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding. Proteins must ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results