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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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libxtc: an efficient library for reading XTC-compressed MD trajectory data.

Nikolay A Krylov1,2, Roman G Efremov3,4,5

  • 1Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya st. 16/10, Moscow, 117997, Russian Federation. krylovna@gmail.com.

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|April 2, 2021
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Summary

A new library, libxtc, optimizes molecular dynamics (MD) trajectory processing for large biomolecular systems. It offers improved speed and storage efficiency compared to existing tools like xdrfile and tng.

Keywords:
Biomolecular simulationsEfficiency of MD trajectories readingMolecular dynamicsParallel data processing

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Area of Science:

  • Computational biology
  • Biophysics
  • Software development

Background:

  • Molecular dynamics (MD) simulations generate large trajectory datasets crucial for understanding biomolecular systems.
  • Existing trajectory file processing libraries, such as tng and xdrfile, present trade-offs between speed and storage efficiency.
  • Optimizing MD data processing is essential for analyzing complex biological systems.

Purpose of the Study:

  • To develop a novel library, libxtc, for efficient processing of MD trajectory data in xtc format.
  • To combine the speed of tng with the storage efficiency of xdrfile by modifying xdrfile's codebase.
  • To enhance the analysis of large biomolecular systems through optimized data handling.

Main Methods:

  • Modification of the xdrfile library to create the libxtc library.
  • Implementation of algorithms for reading molecular dynamics trajectory files in xtc format.
  • Benchmarking libxtc against tng and xdrfile using biomolecular systems of varying sizes (2x10^4 to 2x10^5 atoms).

Main Results:

  • libxtc demonstrates superior performance in both sequential and parallel processing modes compared to xdrfile and tng.
  • In sequential mode, libxtc is up to 1.8 times faster than xdrfile and 1.4 times slower than tng.
  • In parallel mode, libxtc achieves speedups of approximately 3x over xdrfile and 1.3x over tng.
  • MD data processed with libxtc in xtc format require approximately 1.3 times less disk space than those processed with tng's fastest mode.

Conclusions:

  • libxtc offers a significant improvement in both processing speed and storage efficiency for molecular dynamics trajectory data.
  • The library is particularly beneficial for long trajectories and large biomolecular systems, common in biological research.
  • libxtc provides a valuable tool for computational biologists and researchers working with large-scale MD simulations.