Evidence map›Paper›PMID 32170016›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Inhibition mechanisms of AcrF9, AcrF8, and AcrF6 against type I-F CRISPR-Cas complex revealed by cryo-EM.

Kaiming Zhang, Shuo Wang, Shanshan Li, Yuwei Zhu, Grigore D Pintilie, Tung-Chung Mou, Michael F Schmid, Zhiwei Huang, Wah Chiu

Abstract readVideo-Audio Media
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Structural characterization of anti-CRISPR protein AcrIE9.Structural dynamics (Melville, N.Y.) · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Mechanistic insights into DNA binding and cleavage by a compact type I-F CRISPR-Cas system in bacteriophage.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Using deep-learning predictions of inter-residue distances for model validation.Acta crystallographica. Section D, Structural biology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Kaiming ZhangDepartment of Bioengineering, James H. Clark Center, Stanford University, Stanford, CA 94305.ORCID 0000-0003-0414-4776
Shuo WangHarbin Institute of Technology (HIT) Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, 150080 Harbin, China.
Shanshan LiDepartment of Bioengineering, James H. Clark Center, Stanford University, Stanford, CA 94305.ORCID 0000-0002-7041-5960
Yuwei ZhuHarbin Institute of Technology (HIT) Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, 150080 Harbin, China.
Grigore D PintilieDepartment of Bioengineering, James H. Clark Center, Stanford University, Stanford, CA 94305.
Tung-Chung MouCenter for Biomolecular Structure and Dynamics, University of Montana, Missoula, MT 59812.
Michael F SchmidCryoEM and Bioimaging Division, Stanford Synchrotron Radiation Lightsource (SSRL), Stanford Linear Accelerator Center (SLAC) National Accelerator Laboratory, Stanford University, Menlo Park, CA 94025.
Zhiwei HuangHarbin Institute of Technology (HIT) Center for Life Sciences, School of Life Science and Technology, Harbin Institute of Technology, 150080 Harbin, China; huangzhiwei@hit.edu.cn wahc@stanford.edu.ORCID 0000-0002-8201-9391
Wah ChiuDepartment of Bioengineering, James H. Clark Center, Stanford University, Stanford, CA 94305; huangzhiwei@hit.edu.cn wahc@stanford.edu.ORCID 0000-0002-8910-3078

Funding

Surveillance genome sequencing to detect SARS-CoV-2 virus variants in MontanaP20GM103546 · NIGMS · UNIVERSITY OF MONTANA · PI BOWLER, BRUCE E · 2012 to 2021
$19.2M
3 D ELECTRON MICROSCOPY OF MACROMOLECULES (5P41RR002250-27)P41GM103832 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2012 to 2019
$15.1M
Unified Data Resource for Large Complexes Determined by Cryo-Electron MicroscopyR01GM079429 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2007 to 2021
$11.6M
Acquisition of a 300 kV Electron Microscope for Structural BiologyS10OD021600 · OD · STANFORD UNIVERSITY · PI CHIU, WAH · 2016 to 2016
$2.0M
NIGMS NIH HHS P20 GM103546NIGMS NIH HHS P41 GM103832NIGMS NIH HHS R01 GM079429NIH HHS S10 OD021600
6 · The paper itself

Abstract

Prokaryotes and viruses have fought a long battle against each other. Prokaryotes use CRISPR-Cas-mediated adaptive immunity, while conversely, viruses evolve multiple anti-CRISPR (Acr) proteins to defeat these CRISPR-Cas systems. The type I-F CRISPR-Cas system in

Indexed as

Host-Pathogen InteractionsCRISPR-Associated ProteinsCRISPR-Cas SystemsCryoelectron MicroscopyPseudomonas aeruginosaViral ProteinsCRISPR-Associated ProteinsViral Proteinsanti-CRISPRCRISPR-Csycryo-EM

Identifiers

PMID32170016
PMCPMC7132274

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.