MDCompress: better, faster compression of molecular dynamics simulation trajectories

Area of Science:

• Biophysics
• Computational Biology
• Structural Biology

Background:

• Molecular dynamics (MD) simulations provide atomic-level insights into biomolecular behavior.
• Large trajectory file sizes pose significant storage and data transfer challenges.
• Efficient compression is needed for effective analysis of MD simulation data.

Purpose of the Study:

• Introduce MDCompress, a novel trajectory compression format and software.
• Address the need for efficient storage and rapid random-access decompression of MD trajectories.
• Improve upon existing compression methods like XTC.

Main Methods:

• Developed a new compression format, MDCompress.
• Implemented accompanying software with efficient multithreading.
• Evaluated compression ratios and decompression speeds against the XTC format.

Main Results:

• MDCompress files are 15-37% smaller than XTC files.
• Achieved faster compression and decompression speeds compared to XTC.
• Supports rapid random-access decompression of trajectory subsets.

Conclusions:

• MDCompress offers a superior solution for MD trajectory compression.
• The new format enhances data management and accessibility for biomolecular simulations.
• MDCompress facilitates more efficient downstream analysis of complex biological systems.