MD trajectories—simulations of how atoms move in a biological system—often generate terabytes of data. MDZip addresses this by using to achieve over a 95% reduction in file size without losing essential dynamical information. Why Use MDZip?
💡 If your simulations are hitting storage limits, MDZip offers a scalable way to archive and share your data without sacrificing the resolution needed for structural analysis. Do you need a tutorial-style guide or a high-level summary ? Mdlvzip
: You can share compact "latent representations" instead of entire raw trajectories, making collaboration easier. MD trajectories—simulations of how atoms move in a
The core of MDZip is a neural network called a . 💡 If your simulations are hitting storage limits,
: Unlike generic tools, it trains a dedicated model for each system to maximize efficiency based on that system's unique features. How it Works
: The encoder takes the complex atomic positions and maps them into a tiny "bottleneck" size.
: It shrinks data by more than 95% compared to raw formats.