Initial steps in selenocysteine biosynthesis: The interaction between selenocysteine lyase and selenophosphate synthetase
Bibliographic record
Abstract
The selenocysteine (Sec) incorporation is a co-translational event taking place at an in-frame UGA-codon and dependent on an organized molecular machinery. Selenium delivery requires mainly two enzymes, the selenocysteine lyase (CsdB) is essential for Sec recycling and conversion to selenide, further used by the selenophosphate synthetase (SelD), responsible for the conversion of selenide in selenophosphate. Therefore, understanding the catalytic mechanism involved in selenium compounds delivery, such as the interaction between SelD and CsdB (EcCsdB.EcSelD), is fundamental for the further comprehension of the selenocysteine synthesis pathway and its control. In Escherichia coli, EcCsdB.EcSelD interaction must occur to prevent cell death from the release of the toxic intermediate selenide. Here, we demonstrate and characterize the in vitro EcSelD.EcCsdB interaction by biophysical methods. The EcSelD.EcCsdB interaction occurs with a stoichiometry of 1:1 in presence of selenocysteine and at a low-nanomolar affinity (~1.8 nM). The data is in agreement with the small angle X-ray scattering model fitted using available structures. Moreover, yeast-2-hybrid assays supported the macromolecular interaction in the cellular environment. This is the first report that demonstrates the interaction between EcCsdB and EcSelD supporting the hypothesis that EcSelD.EcCsdB interaction is necessary to sequester the selenide during the selenocysteine incorporation pathway in Bacteria.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".