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

Title:
OpenABC enables flexible, simplified, and efficient GPU accelerated simulations of biomolecular condensates
Contributors:
Wei, Guanghong
Source:
PLOS Computational Biology, vol 19, iss 9
Publisher Information:
eScholarship, University of California
Publication Year:
2023
Collection:
University of California: eScholarship
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
unknown
DOI:
10.1371/journal.pcbi.1011442
Rights:
CC-BY
Accession Number:
edsbas.FF4FD82D
Database:
BASE

Weitere Informationen

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.