Evidence map›Paper›PMID 38643169›Full record

ArticleNature communications2024

GENESIS CGDYN: large-scale coarse-grained MD simulation with dynamic load balancing for heterogeneous biomolecular systems.

Jaewoon Jung, Cheng Tan, Yuji Sugita

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. A coarse-grained model for disordered proteins under crowded conditions.Protein science : a publication of the Protein Society · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. ACS omega · 2024
    Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jaewoon Jung *Computational Biophysics Research Team, RIKEN Center for Computational Science, Kobe, Hyogo, 650-0047, Japan.ORCID http://orcid.org/0000-0002-2285-4432
Cheng Tan *Computational Biophysics Research Team, RIKEN Center for Computational Science, Kobe, Hyogo, 650-0047, Japan.ORCID http://orcid.org/0000-0002-8957-4267
Yuji SugitaComputational Biophysics Research Team, RIKEN Center for Computational Science, Kobe, Hyogo, 650-0047, Japan. sugita@riken.jp.ORCID http://orcid.org/0000-0001-9738-9216

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 19H05645MEXT | Japan Society for the Promotion of Science (JSPS) 21H05249MEXT | Japan Society for the Promotion of Science (JSPS) 21H05282MEXT | RIKEN Pioneering ProjectMinistry of Education, Culture, Sports, Science and Technology (MEXT) JPMXP1020200101Ministry of Education, Culture, Sports, Science and Technology (MEXT) JPMXP1020230327Ministry of Education, Culture, Sports, Science and Technology (MEXT) JPMXP1122714694
6 · The paper itself

Abstract

Residue-level coarse-grained (CG) molecular dynamics (MD) simulation is widely used to investigate slow biological processes that involve multiple proteins, nucleic acids, and their complexes. Biomolecules in a large simulation system are distributed non-uniformly, limiting computational efficiency with conventional methods. Here, we develop a hierarchical domain decomposition scheme with dynamic load balancing for heterogeneous biomolecular systems to keep computational efficiency even after drastic changes in particle distribution. These schemes are applied to the dynamics of intrinsically disordered protein (IDP) droplets. During the fusion of two droplets, we find that the changes in droplet shape correlate with the mixing of IDP chains. Additionally, we simulate large systems with multiple IDP droplets, achieving simulation sizes comparable to those observed in microscopy. In our MD simulations, we directly observe Ostwald ripening, a phenomenon where small droplets dissolve and their molecules redeposit into larger droplets. These methods have been implemented in CGDYN of the GENESIS software, offering a tool for investigating mesoscopic biological processes using the residue-level CG models.

Indexed as

Molecular Dynamics SimulationNucleic AcidsProteinsSoftwareNucleic AcidsProteins

Identifiers

PMID38643169
PMCPMC11032353

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.