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Record W4408104269 · doi:10.1038/s41598-025-85446-9

Inner membrane components of the plasmid pKM101 type IV secretion system TraE and TraD are DNA-binding proteins

2025· article· en· W4408104269 on OpenAlexafffund
Zakaria Jemouai, Aleksandr Sverzhinsky, J. Sygusch, John M. Pascal, Christian Baron

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsUniversité du QuébecUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsPlasmidSecretionDNAMolecular biologyChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

The increase of antimicrobial resistance constitutes a significant threat to human health. One of the mechanisms responsible for the spread of resistance to antimicrobials is the transfer of plasmids between bacteria by conjugation. This process is mediated by type IV secretion systems (T4SS) and previous studies have provided in vivo evidence for interactions between DNA and components of the T4SS. Here, we purified TraD and TraE, two inner membrane proteins from the Escherichia coli pKM101 T4SS. Using electrophoretic mobility shift assays and fluorescence polarization we showed that the purified proteins both bind single-stranded and double-stranded DNA in the nanomolar affinity range. The previously identified conjugation inhibitor BAR-072 inhibits TraE DNA binding in vitro, providing evidence for its mechanism of action. Site-directed mutagenesis identified conserved amino acids that are required for conjugation that may be targets for the development of more potent conjugation inhibitors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.252
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

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