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

ABSTRACT:

Objective

The purpose of this work is to optimize the processing of molecular dynamics (MD) trajectory data obtained for large biomolecular systems. Two popular software tools were chosen as the reference: the tng and the xdrfile libraries. Current implementation of tng algorithms and library is either fast or storage efficient and xdrfile is storage efficient but slow. Our aim was to combine speed and storage efficiency through the xdrfile's code modification.

Results

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 high

SUBMITTER: Krylov NA 

PROVIDER: S-EPMC8017739 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature