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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 ...
High-resolution structures of nascent polypeptide chains in complex with the ribosome — the cell’s protein-synthesis machinery — reveal how the ribosome guides protein folding. Ribosomal attachment ...
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 ...
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 ...
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