Structural Characterization of <i>Escherichia coli</i> BamE, a Lipoprotein Component of the β-Barrel Assembly Machinery Complex
Bibliographic record
Abstract
In Escherichia coli, the BAM complex catalyzes the essential process of assembling outer membrane proteins (OMPs). This complex consists of five proteins: one membrane-bound protein, BamA, and four lipoproteins, BamB, BamC, BamD, and BamE. Despite their importance in OMP biogenesis, there is currently a lack of functional and structural information on the BAM complex lipoproteins. BamE is the smallest but most conserved lipoprotein in the complex. The structural and dynamic properties of monomeric BamE (residues 21-133) were determined by NMR spectroscopy. The protein folds as two α-helices packed against a three-stranded antiparallel β-sheet. The N-terminal (Ser21-Thr39) and C-terminal (Pro108-Asn113) residues, as well as a β-hairpin loop (Val76-Gln89), are highly flexible on the subnanosecond time scale. BamE expressed and purified from E. coli also exists in a kinetically trapped dimeric state that has dramatically different NMR spectra, and hence structural features, relative to its monomeric form. The functional significance of the BamE dimer remains to be established. Structural comparison to proteins with a similar architecture suggests that BamE may play a role in mediating the association of the BAM complex or with the BAM complex substrates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".