PLoS Computational Biology (Sep 2023)

OpenABC enables flexible, simplified, and efficient GPU accelerated simulations of biomolecular condensates.

  • Shuming Liu,
  • Cong Wang,
  • Andrew P Latham,
  • Xinqiang Ding,
  • Bin Zhang

DOI
https://doi.org/10.1371/journal.pcbi.1011442
Journal volume & issue
Vol. 19, no. 9
p. e1011442

Abstract

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Biomolecular condensates are important structures in various cellular processes but are challenging to study using traditional experimental techniques. In silico simulations with residue-level coarse-grained models strike a balance between computational efficiency and chemical accuracy. They could offer valuable insights by connecting the emergent properties of these complex systems with molecular sequences. However, existing coarse-grained models often lack easy-to-follow tutorials and are implemented in software that is not optimal for condensate simulations. To address these issues, we introduce OpenABC, a software package that greatly simplifies the setup and execution of coarse-grained condensate simulations with multiple force fields using Python scripting. OpenABC seamlessly integrates with the OpenMM molecular dynamics engine, enabling efficient simulations with performance on a single GPU that rivals the speed achieved by hundreds of CPUs. We also provide tools that convert coarse-grained configurations to all-atom structures for atomistic simulations. We anticipate that OpenABC will significantly facilitate the adoption of in silico simulations by a broader community to investigate the structural and dynamical properties of condensates.