Login / Signup

libxtc: an efficient library for reading XTC-compressed MD trajectory data.

Nikolay A KrylovRoman G Efremov
Published in: BMC research notes (2021)
Here we present libxtc, a ready-to-use library for reading MD trajectory files in xtc format. The effectiveness of libxtc is demonstrated for several biomolecular systems of various sizes (~ 2 × 104 to ~ 2 × 105 atoms). In sequential mode, the performance of libxtc is up to 1.8 times higher and 1.4 times lower than xdrfile and tng, respectively. In parallel mode, libxtc is about 3 and 1.3 times faster than xdrfile and tng. At the same time, MD data stored in the xtc format require about 1.3 times less disk space than those treated with the tng algorithm in the fastest reading mode, which is a noticeable saving especially when the MD trajectory is long and the number of atoms is large-this applies to most biologically relevant systems.
Keyphrases
  • molecular dynamics
  • working memory
  • electronic health record
  • randomized controlled trial
  • big data
  • machine learning
  • systematic review
  • room temperature
  • data analysis
  • newly diagnosed