Enzymatic Adenylation of 2,3-Dihydroxybenzoate Is Enhanced by a Protein−Protein Interaction between <i>Escherichia coli</i> 2,3-Dihydro-2,3-dihydroxybenzoate Dehydrogenase (EntA) and 2,3-Dihydroxybenzoate-AMP Ligase (EntE)
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Bibliographic record
Abstract
The Escherichia coli siderophore enterobactin is synthesized in response to iron starvation. 2,3-Dihydro-2,3-dihydroxybenzoate dehydrogenase (EntA) produces 2,3-dihydroxybenzoate (DHB), a biosynthetic intermediate. 2,3-Dihydroxybenzoate-AMP ligase (EntE) adenylates DHB, activating it for attachment to the NRPS substrate holo-EntB. Using analytical ultracentrifugation, we found that EntA undergoes concentration-dependent dimer-tetramer self-association (K(D) = 12.3 μM). We further found that EntA can form a specific complex with EntE. Pull-down assays revealed that recombinant EntA bait pulled down EntE from E. coli lysates, whereas recombinant EntE bait could pull down EntA. Addition of the SMCC cross-linker to a mixture of EntA and EntE resulted in a cross-linked product with a molecular mass of >250 kDa, suggesting a complex stoichiometry of one EntA tetramer and four EntE monomers. The effect of EntA on EntE activity was also examined. Addition of a 4-fold excess of EntA to an EntE assay mixture resulted in a 6-fold stimulation of EntE activity. EntA was also found to perturb the FRET signal between EntE donor residues and EntE-bound DHB. By following the EntA-dependent decrease in the magnitude of the EntE-DHB FRET signal, EntA-EntE binding behavior was found to be sigmoidal, suggesting the presence of both low- and high-affinity binding sites. The EntA-EntE interaction was also directly measured by isothermal titration calorimetry at 10 °C. The resulting binding isotherm fit well to a model describing two binding sites, supporting our AUC and fluorescence data. Taken together, our data show that tetrameric EntA optimally interacts with EntE, resulting in an enhancement of EntE activity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it