Component Interactions and Implications for Complex Formation in the Multicomponent Toluene 4-Monooxygenase
Bibliographic record
Abstract
A fluorophore-labeled form of the T4moD, the catalytic effector protein of the toluene 4-monooxygenase complex, was prepared by engineering the N-terminal region to contain a tetraCys motif and treatment with biarsenical fluorescein. Fluorescence anisotropy was used to study the protein-protein interactions among various combinations of the four components of the complex. Binding interactions were detected between T4moD and the hydroxylase component T4moH [K(D) value of 83 nM for interaction with the alphabetagamma protomer] and between T4moD and the Rieske [2Fe-2S] ferredoxin component T4moC (K(D) value of 78 nM). No binding interactions were detected between T4moD and the NADH oxidoreductase component T4moF, but T4moF was able to disrupt binding between T4moC and T4moD. The detected binding interactions suggest an intermediary electron transfer complex between T4moC and T4moD that excludes T4moF. The results indicate that specialization of effector protein function may include specific protein-protein interactions with [2Fe-2S] domains as well as the hydroxylase component.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".