Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...
What if the vast amounts of data generated by molecular dynamics simulations could be routinely shared and reused? A new €10 ...
A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...
More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...
Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein ...
Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...
More than 20 percent of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move — with applications ...
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 ...
Dynamin assembles into a ring around the neck of a forming vesicle and utilizes GTP hydrolysis energy to constrict and sever the membrane. The simulation reveals that the dynamin ring expands (loosens ...
By tracking aromatic ring movements inside proteins, researchers uncovered details of the molecular flexibility that enables binding, and biological activity.
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