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Record W2084499784 · doi:10.1128/jb.02043-14

Emerging Roles for Anionic Non-Bilayer Phospholipids in Fortifying the Outer Membrane Permeability Barrier

2014· letter· en· W2084499784 on OpenAlexafffund
Russell E. Bishop

Bibliographic record

VenueJournal of Bacteriology · 2014
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health Research
KeywordsBiologyBacterial outer membraneMutantEscherichia coliMembrane permeabilityCell membraneMembranePhosphatidic acidBiophysicsBacterial cell structureBiochemistryBacteriaPhospholipidGenetics

Abstract

fetched live from OpenAlex

Lately, researchers have been actively investigating Escherichia coli lptD mutants, which exhibit reduced transport of lipopolysaccharide to the cell surface. In this issue of the Journal of Bacteriology, Sutterlin et al. (H. A. Sutterlin, S. Zhang, and T. J. Silhavy, J. Bacteriol. 196:3214-3220, 2014) now reveal an important functional role for phosphatidic acid in fortifying the outer membrane permeability barrier in certain lptD mutant backgrounds. These findings come on the heels of the first reports of two LptD crystal structures, which now provide a structural framework for interpreting lptD genetics.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0190.018
Insufficient payload (model declined to judge)0.0050.004

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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

Citations21
Published2014
Admission routes2
Has abstractyes

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