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Single-Molecule Measurement of Protein Interaction Dynamics Within Biomolecular Condensates

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Published on: January 5, 2024

Efficient compression of molecular dynamics trajectory files.

Patrick Marais¹, Julian Kenwood, Keegan Carruthers Smith

¹Department of Computer Science, University of Cape Town, Cape Town, South Africa. patrick@cs.uct.ac.za

Journal of Computational Chemistry

|June 26, 2012

Summary

We developed novel compression methods for molecular dynamics (MD) trajectory files, achieving significant data reduction. These techniques offer efficient compression for large simulation datasets, outperforming existing methods.

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Area of Science:

Computational Chemistry
Data Science
Scientific Computing

Background:

Molecular dynamics (MD) simulations generate massive trajectory files.
Efficient storage and transfer of these large datasets are critical challenges in computational science.

Purpose of the Study:

To investigate effective file compression strategies for molecular dynamics trajectory files.
To develop and evaluate lossy, quantized compression schemes tailored for simulation data.

Main Methods:

Exploration of "interframe" predictors exploiting temporal coherence between simulation frames.
Development of "intraframe" schemes for independent frame compression.
Configurable schemes allowing trade-offs between compression ratio and atomic positional accuracy.

Main Results:

Interframe predictors demonstrated superior performance over the BZip2 benchmark.
High-fidelity compression achieved 5-8% of original file size for 1-2 fs trajectories with 12-bit quantization.
Compression to ~25% of original size for 200 fs time steps, significantly better than BZip2.

Conclusions:

Lossy, quantized compression schemes, particularly interframe predictors, are highly effective for MD trajectory files.
The developed methods are fast, memory-efficient, and suitable for on-the-fly compression of large-scale simulations.
Approximation errors introduced by quantization are often negligible compared to inherent simulation errors.