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 ...

Harvard researchers bring the accuracy, sample efficiency, and robustness of deep equivariant neural networks to the simulate 44 million atoms. This is achieved through a combination of innovative ...

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 ...

Fujitsu today announced the successful development of a technology for molecular dynamics (MD) simulation that enables atomic ...

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 ...

Supercomputer simulations run on the Stampede2 system of the Texas Advanced Computing Center (TACC) have helped scientists studying how cells work understand the way in which protein molecules in 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 ...

Students learn about the nucleus in ninth grade biology — it's the inner sanctum of biological cells, where the genome resides with the blueprints for cells to make proteins that are the ...