Flavin Binding to the High Affinity Riboflavin Transporter RibU
Bibliographic record
Abstract
The first biochemical and spectroscopic characterization of a purified membrane transporter for riboflavin (vitamin B(2)) is presented. The riboflavin transporter RibU from the bacterium Lactococcus lactis was overexpressed, solubilized, and purified. The purified transporter was bright yellow when the cells had been cultured in rich medium. We used a detergent-compatible matrix-assisted laser desorption ionization time-of-flight mass spectrometry method (Cadene, M., and Chait, B. T. (2000) Anal. Chem. 72, 5655-5658) to show that the source of the yellow color was riboflavin that had been co-purified with the transporter. The method appears generally applicable for substrate identification of purified membrane proteins. Substrate-free RibU was produced by expressing the protein in cells cultured in chemically defined medium. Riboflavin, FMN, and roseoflavin bound to RibU with high affinity and 1:1 stoichiometry (K(d) for riboflavin is 0.6 nM), but FAD did not bind to the transporter. The absorption spectrum of riboflavin changed dramatically when the substrate bound to RibU. Well resolved bands appeared at 441, 464, and 486 nm, indicating a hydrophobic binding pocket. The fluorescence of riboflavin was almost completely quenched upon binding to RibU, and also the tryptophan fluorescence of the transporter was quenched when flavins bound. The results indicate that riboflavin is stacked with one or more tryptophan residues in the binding pocket of RibU. Mutagenesis experiments showed that Trp-68 was involved directly in the riboflavin binding. The structural properties of the binding site and mechanistic consequences of the exceptionally high affinity of RibU for its substrate are discussed in relation to soluble riboflavin-binding proteins of known structure.
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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) | 0.001 | 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".