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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 ...
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 ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...
Researchers from Cleveland Clinic and IBM recently published findings in the Journal of Chemical Theory and Computation that could lay the groundwork for applying quantum computing methods to protein ...
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 ...
Scientists discovered a role played by ribosomes during the folding of new proteins in cells. Scientists at UCL have discovered a novel role played by ribosomes during the folding of new proteins in ...
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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