TonB induces conformational changes in surface‐exposed loops of FhuA, outer membrane receptor of <i>Escherichia coli</i>
Bibliographic record
Abstract
FhuA, outer membrane receptor of Escherichia coli, transports hydroxamate-type siderophores into the periplasm. Cytoplasmic membrane-anchored TonB transduces energy to FhuA to facilitate siderophore transport. Because the N-terminal cork domain of FhuA occludes the C-terminal beta-barrel lumen, conformational changes must occur to enable siderophore passage. To localize conformational changes at an early stage of the siderophore transport cycle, four anti-FhuA monoclonal antibodies (mAbs) were purified to homogeneity, and the epitopes that they recognize were determined by phage display. We mapped continuous and discontinuous epitopes to outer surface-exposed loops 3, 4, and 5 and to beta-barrel strand 14. To probe for conformational changes of FhuA, surface plasmon resonance measured mAb binding to FhuA in its apo- and siderophore-bound states. Changes in binding kinetics were observed for mAbs whose epitopes were mapped to outer surface-exposed loops. Further, we measured mAb binding in the absence and presence of TonB. After forming immobilized FhuA-TonB complexes, changes in kinetics of mAb binding to FhuA were even more pronounced compared with kinetics of binding in the absence of TonB. Measurement of extrinsic fluorescence of the dye MDCC conjugated to residue 336 in outer surface-exposed loop 4 revealed 33% fluorescence quenching upon ferricrocin binding and up to 56% quenching upon TonB binding. Binding of mAbs to apo- and ferricrocin-bound FhuA complemented by fluorescence spectroscopy studies showed that their cognate epitopes on loops 3, 4, and 5 undergo conformational changes upon siderophore binding. Further, our data demonstrate that TonB binding promotes conformational changes in outer surface-exposed loops of FhuA.
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 | 0.000 |
| 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".