Structure and mode of action of the TolA-TolB complex from Pseudomonas aeruginosa
Bibliographic record
Abstract
Protein-protein interactions (PPIs) across the cell envelope of Gram-negative bacteria are critical for mediating signal transduction pathways that underpin cellular homeostasis. The Ton and Tol Pal systems are two conserved, ancestrally related protein networks that are also required for bacterial pathogenesis. Both Ton and Tol-Pal traverse the periplasm to effect different functions at the outer membrane (OM). Tol-Pal is composed of a homologous complex of three inner membrane proteins, TolQ-TolR-TolA (linked to proton motive force) and two additional periplasmic proteins TolB and Pal. The physiological role of the Tol-Pal system is to stabilise the OM, however the mechanism involved is unknown. TolA is however known to form a crucial protein-protein interaction via its C-terminus with the disordered N-terminus of TolB. Prior to this thesis, determination of the molecular features underlying a protein-protein complex between TolA and an endogenous binding partner TolB had never been accomplished. In this work, I describe the first structure comprising the TolA-TolB complex from Gram negative bacteria. The structure of this complex was determined from Pseudomonas aeruginosa by solution NMR spectroscopy. I determined the interaction between P. aeruginosa TolA and a TolB N terminal peptide to be relatively weak using fluorescence anisotropy. I found that TolB interacts with TolA through an analogous mechanism to that seen in TonB-dependent transporters. Based on these studies and bioinformatics analyses, I hypothesize that the evolutionary resilience of the Tol-Pal system to external pressures is contingent on the preservation of the TolA-TolB interface. Structure-based mutations within the TolA-TolB complex were also evaluated for their effect on in vivo function of the Tol-Pal complex and impact on complex formation in vitro. Taken together, the results demonstrate that protein networks which transduce energy to the OM through PMF-dependent systems in bacterial cells appear to follow a common β-strand augmentation mechanism.
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 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".