Evidence map›Paper›PMID 39856386›Full record

ArticleCommunications biology2025

Structural model of a bacterial focal adhesion complex.

Christian Cambillau, Tâm Mignot

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Milestones in the development ofJournal of bacteriology · 2025
    Review
  4. 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

2 authors.

Christian CambillauLaboratoire d'Ingénierie des Systèmes Macromoléculaires (LISM), Institut de Microbiologie, Bioénergies et Biotechnologie (IMM), Aix-Marseille Université-CNRS, UMR 7255, Marseille, France.ORCID http://orcid.org/0000-0001-5502-4729
Tâm MignotLaboratoire de Chimie Bactérienne (LCB) Institut de Microbiologie, Bioénergies et Biotechnologie (IMM), Aix-Marseille Université-CNRS, UMR 7283, Marseille, France. tmignot@imm.cnrs.fr.ORCID http://orcid.org/0000-0003-4338-9063

Funding

ChimeraX -- Next Generation Visualization and Analysis Software for Multiscale ModelingR01GM129325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2018 to 2025
$5.2M
EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) ERC JAWS 885145NIGMS NIH HHS R01 GM129325
6 · The paper itself

Abstract

Cell movement on surfaces relies on focal adhesion complexes (FAs), which connect cytoskeletal motors to the extracellular matrix to produce traction forces. The soil bacterium Myxococcus xanthus uses a bacterial FA (bFA), for surface movement and predation. The bFA system, known as Agl-Glt, is a complex network of at least 17 proteins spanning the cell envelope. Despite understanding the system dynamics, its molecular structure and protein interactions remain unclear. In this study, we utilize AlphaFold to generate models based on the known interactions and dynamics of gliding motility proteins. This approach provides us with a comprehensive view of the interactions across the entire complex. Our structural insights show the connection of essential functional modules throughout the cell envelope and offer an inspiring view of the force transduction mechanism from the inner molecular motor to the exterior of the cell.

Indexed as

Bacterial AdhesionBacterial ProteinsFocal AdhesionsMyxococcus xanthusModels, MolecularBacterial Proteins

Identifiers

PMID39856386
PMCPMC11761067

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.