ArticleRoyal Society open science2023
Space and time on the membrane: modelling Type VI secretion system dynamics as a state-dependent random walk.
Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026Review
- Biophysical characterization of Eag chaperones suggests the mechanism of effector transmembrane domain release.Nature communications · 2026Article
- Understanding bacterial pathogenicity: a closer look at the journey of harmful microbes.Frontiers in microbiology · 2024Review
- Space and time on the membrane: modelling Type VI secretion system dynamics as a state-dependent random walk.Royal Society open science · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The type six secretion system (T6SS) is a transmembrane protein complex that mediates bacterial cell killing. The T6SS comprises three main components (transmembrane, baseplate and sheath/tube complexes) that are sequentially assembled in order to enable an attacking cell to transport payloads into neighbouring cells. A T6SS attack disrupts the function of essential cellular components of target cells, typically resulting in their death. While the assembled T6SS adopts a fixed position in the cell membrane of the attacking cell, the location of the firing site varies between firing events. In
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Registered trials
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.