Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers from Japan have ...
Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat ...
Scientists have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool is ...
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 ...
Most of the activities that go on inside cells—the activities that keep us living, breathing, thinking animals—are handled by proteins. They allow cells to communicate with each other, run a cell’s ...
All-atom molecular dynamics (MD) simulations based on physics-based force fields serve as an essential complement to experiments for investigating protein structure, dynamics, and interactions.
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 ...
Molecular dynamics simulation on regulation of liquid–liquid phase separation of repetitive peptides
Understanding the intricate interactions governing protein and peptide behavior in liquid–liquid phase separation (LLPS) is crucial for unraveling biological functions and dysfunctions. This study ...
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