Evidence map›Paper›PMID 28529035›Full record

ReviewPlasmid2017

Brownian ratchet mechanisms of ParA-mediated partitioning.

Longhua Hu, Anthony G Vecchiarelli, Kiyoshi Mizuuchi, Keir C Neuman, Jian Liu

Abstract readReview
In one paragraph

Review in Plasmid, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Expanding the diversity of bacterial DNA partitioning: A CTP-independent ParABProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
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

5 authors.

Longhua HuBiochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, United States.
Anthony G VecchiarelliDepartment of Molecular, Cellular, and Developmental Biology (MCDB), University of Michigan, Ann Arbor, MI, United States.
Kiyoshi MizuuchiLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, United States.
Keir C NeumanBiochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, United States.
Jian LiuBiochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, United States. Electronic address: jian.liu@nih.gov.

Funding

Single-molecule measurements of DNA topology and topoisomerasesZIAHL001056 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI NEUMAN, KEIR · 2009 to 2025
$22.6M
Study of the mechanism of bacterial chromosome partitioning systemsZIADK036165 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI MIZUUCHI, KIYOSHI · 2009 to 2025
$11.1M
Theoretical modeling on mechanochemical feedbacks of cellular processesZIAHL006086 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LIU, JIAN · 2010 to 2018
$10.0M
Single-molecule measurements of collagen processing by Matrix MetalloproteinasesZIAHL006114 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI NEUMAN, KEIR · 2011 to 2017
$1.1M
Intramural NIH HHS ZIA HL006086
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Adenosine TriphosphatasesDiffusionKineticsModels, ChemicalPlasmidsProtein ConformationAdenosine Triphosphatases

Identifiers

PMID28529035
PMCPMC5568458

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.