Evidence map›Paper›PMID 28700918›Full record

ArticleBiophysical journal2017

Dynamic Model Exposes the Energetics and Dynamics of the Injection Machinery for Bacteriophage T4.

Ameneh Maghsoodi, Anupam Chatterjee, Ioan Andricioaei, Noel C Perkins

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. How the phage T4 injection machinery works including energetics, forces, and dynamic pathway.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ameneh MaghsoodiDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan. Electronic address: maghsudi@umich.edu.
Anupam ChatterjeeDepartment of Chemistry, University of California, Irvine, Irvine, California.
Ioan AndricioaeiDepartment of Chemistry, University of California, Irvine, Irvine, California.
Noel C PerkinsDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan.
University of California, Irvine · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophage T4 infects the bacterial host (Escherichia coli) using an efficient genomic delivery machine that is driven by elastic energy stored in a contractile tail sheath. Although the atomic structure of T4 is largely known, the dynamics of its fascinating injection machinery is not understood. This article contributes, to our knowledge, the first predictions of the energetics and dynamics of the T4 injection machinery using a novel dynamic model. The model employs an atomistic (molecular dynamics) representation of a fraction of the sheath structure to generate a continuum model of the entire sheath that also couples to a model of the viral capsid and tail tube. The resulting model of the entire injection machine reveals estimates for the energetics, timescale, and pathway of the T4 injection process as well as the force available for cell rupture. It also reveals the large and highly nonlinear conformational changes of the sheath whose elastic energy drives the injection process.

Indexed as

Molecular Dynamics SimulationBacteriophage T4CapsidElasticityEscherichia coliHydrodynamicsKineticsNonlinear DynamicsRotationVirus AttachmentVirus IntegrationVirus Internalization

Identifiers

PMID28700918
PMCPMC5510765
OpenAlexW2734586098

What OpenQuestion holds

Textmetadata
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.