Molecular Mechanism for Lateral Lipid Diffusion between the Outer Membrane External Leaflet and a β-Barrel Hydrocarbon Ruler
Bibliographic record
Abstract
Membrane-intrinsic enzymes are embedded in lipids, yet how such enzymes interrogate lipid substrates remains a largely unexplored fundamental question. The outer membrane phospholipid:lipid A palmitoyltransferase PagP combats host immune defenses during infection and selects a palmitate chain using its beta-barrel interior hydrocarbon ruler. Both a molecular embrasure and crenel in Escherichia coli PagP display weakened transmembrane beta-strand hydrogen bonding to provide potential lateral routes for diffusion of the palmitoyl group between the hydrocarbon ruler and outer membrane external leaflet. Prolines in strands A and B lie beneath the dynamic L1 surface loop flanking the embrasure, whereas the crenel is flanked by prolines in strands F and G. Reversibly barricading the embrasure prevents lipid A palmitoylation without affecting the slower phospholipase reaction. Lys42Ala PagP is also a dedicated phospholipase, implicating this disordered L1 loop residue in lipid A recognition. The embrasure barricade additionally prevents palmitoylation of nonspecific fatty alcohols, but not miscible alcohols. Irreversibly barricading the crenel inhibits both lipid A palmitoylation and phospholipase reactions without compromising PagP structure. These findings indicate lateral palmitoyl group diffusion within the PagP hydrocarbon ruler is likely gated during phospholipid entry via the crenel and during lipid A egress via the embrasure.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".