Interactions between TonB from Escherichia coli and the Periplasmic Protein FhuD
Bibliographic record
Abstract
For uptake of ferrichrome into bacterial cells, FhuA, a TonB-dependent outer membrane receptor of Escherichia coli, is required. The periplasmic protein FhuD binds and transfers ferrichrome to the cytoplasmic membrane-associated permease FhuB/C. We exploited phage display to map protein-protein interactions in the E. coli cell envelope that contribute to ferrichrome transport. By panning random phage libraries against TonB and against FhuD, we identified interaction surfaces on each of these two proteins. Their interactions were detected in vitro by dynamic light scattering and indicated a 1:1 TonB-FhuD complex. FhuD residue Thr-181, located within the siderophorebinding site and mapping to a predicted TonB-interaction surface, was mutated to cysteine. FhuD T181C was reacted with two thiol-specific fluorescent probes; addition of the siderophore ferricrocin quenched fluorescence emissions of these conjugates. Similarly, quenching of fluorescence from both probes confirmed binding of TonB and established an apparent KD of approximately 300 nM. Prior saturation of the siderophorebinding site of FhuD with ferricrocin did not alter affinity of TonB for FhuD. Binding, further characterized with surface plasmon resonance, indicated a higher affinity complex with KD values in the low nanomolar range. Addition of FhuD to a preformed TonB-FhuA complex resulted in formation of a ternary complex. These observations led us to propose a novel mechanism in which TonB acts as a scaffold, directing FhuD to regions within the periplasm where it is poised to accept and deliver siderophore.
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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".