Mdlvzip

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?

: It shrinks data by more than 95% compared to raw formats.

💡 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

The core of MDZip is a neural network called a .

: Only the compressed latent data and the trained model weights need to be stored. MD trajectories—simulations of how atoms move in a

: Despite high compression, it preserves ensemble-level features like RMSD fluctuations and radius of gyration.

MDZip is available as an open-source program. Researchers and developers can access the code and implementation details through the . Key Features for Users: : It shrinks data by more than 95% compared to raw formats

: Users can select different bottleneck sizes to balance how much space they save versus how accurate the reconstruction is.