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


ABSTRACT: 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.

SUBMITTER: Liu S 

PROVIDER: S-EPMC10513381 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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

Liu Shuming S   Wang Cong C   Latham Andrew P AP   Ding Xinqiang X   Zhang Bin B  

PLoS computational biology 20230911 9


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 impl  ...[more]

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