MétaCan
Menu
Back to cohort
Record W1934407509 · doi:10.1016/j.febslet.2015.05.051

VirB6 and VirB10 from the <i>Brucella</i> type IV secretion system interact via the N‐terminal periplasmic domain of VirB6

2015· article· en· W1934407509 on OpenAlexafffund
Ana M. Villamil Giraldo, Charline Mary, Durgajini Sivanesan, Christian Baron

Bibliographic record

VenueFEBS Letters · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchConcordia University
KeywordsPeriplasmic spaceSecretionTerminal (telecommunication)Domain (mathematical analysis)BrucellaChemistryBrucella abortusCell biologyType VI secretion systemMicrobiologyBiochemistryBiologyComputer scienceBrucellosisVirologyEscherichia coliMathematicsGeneVirulence

Abstract

fetched live from OpenAlex

Type IV secretion systems are multi-protein complexes that transfer macromolecules across the cell envelope of bacteria. Identifying the sites of interaction between the twelve proteins (VirB1-VirB11 and VirD4) that form these complexes is key to understanding their assembly and function. We have here used phage display, bacterial two-hybrid and fluorescence-based interaction assays to identify an N-terminal domain of the inner membrane protein VirB6 as a site of interaction with the envelope-spanning VirB10 protein. Our results are consistent with the notion that VirB6 acts in concert with VirB10 as well as with VirB8 during secretion system assembly and function.

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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.201
Teacher spread0.194 · 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

Citations19
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueFEBS LettersSame topicBacterial Genetics and BiotechnologyFrench-language works237,207