The structure of <i>Legionella</i> effector protein LpnE provides insights into its interaction with Oculocerebrorenal syndrome of Lowe (<scp>OCRL</scp>) protein
Bibliographic record
Abstract
Legionella pneumophila is a freshwater bacterium that replicates in predatory amoeba and alveolar macrophage. The ability of L. pneumophila to thrive in eukaryotic host cells is conferred by the Legionella containing vacuole (LCV). Formation and intracellular trafficking of the LCV are governed by an arsenal of effector proteins, many of which are secreted by the Icm/Dot Type 4 Secretion System. One such effector, known as LpnE (L. pneumophila Entry), has been implicated in facilitating bacterial entry into host cells, LCV trafficking, and substrate translocation. LpnE belongs to a subfamily of tetratricopeptide repeat proteins known as Sel1-like repeats (SLRs). All eight of the predicted SLRs in LpnE are required to promote host cell invasion. Herein, we report that LpnE(1-375) localizes to cis-Golgi in HEK293 cells via its signal peptide (aa 1-22). We further verify the interaction of LpnE(73-375) and LpnE(22-375) with Oculocerebrorenal syndrome of Lowe protein (OCRL) residues 10-208, restricting the known interacting residues for both proteins. To further characterize the SLR region of LpnE, we solved the crystal structure of LpnE(73-375) to 1.75Å resolution. This construct comprises all SLRs, which are arranged in a superhelical fold. The α-helices forming the inner concave surface of the LpnE superhelix suggest a potential protein-protein interaction interface. DATABASE: Coordinates and structure factors were deposited in the Protein Data Bank with the accession number 6DEH.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".