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Record W4293452270 · doi:10.1128/mbio.02137-22

Dual Targeting Factors Are Required for LXG Toxin Export by the Bacterial Type VIIb Secretion System

2022· article· en· W4293452270 on OpenAlexafffund
Timothy A. Klein, Dirk W. Grebenc, Prakhar Y. Shah, Owen D. McArthur, Brandon H. Dickson, Michael G. Surette, Youngchang Kim, John C. Whitney

Bibliographic record

VenuemBio · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsPopulation Health Research InstituteMcMaster University
FundersArgonne National LaboratoryNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchOffice of ScienceHospital for Sick ChildrenGovernment of CanadaScheme for Promotion of Academic and Research CollaborationU.S. Department of Energy
KeywordsSecretionMicrobiologyToxinBacteriaMicrobial toxinsStaphylococcus aureusStreptococcusEnterococcusBiologyBacterial proteinBiochemistryGeneticsAntibiotics

Abstract

fetched live from OpenAlex

. These bacteria use the T7SSb to facilitate interbacterial killing and pathogenesis through the secretion of toxins. Although the modes of toxicity for a number of these toxins have been investigated, the mechanisms by which they are recognized and secreted by T7SSb remains poorly understood. The significance of this work is the discovery of two new protein families, termed Lap1 and Lap2, that directly interact with these toxins and are required for their secretion. Overall, Lap1 and Lap2 represent two widespread families of proteins that function as targeting factors that participate in T7SSb-dependent toxin release from Gram-positive bacteria.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.356
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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 teacher head, 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

Citations39
Published2022
Admission routes2
Has abstractyes

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