Analysis of Novel Interactions between Components of the Selenocysteine Biosynthesis Pathway, SEPHS1, SEPHS2, SEPSECS, and SECp43
Why this work is in the frame
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Bibliographic record
Abstract
In mammalian cells, the incorporation of the 21st amino acid, selenocysteine, into proteins is guided by the Sec machinery. The function of this protein complex requires several protein-protein and protein-RNA interactions, leading to the incorporation of selenocysteine at UGA codons. It is guided by stem-loop structures localized in the 3' untranslated regions of the selenoprotein-encoding genes. Here, we conducted a global analysis of interactions between the Sec biosynthesis and incorporation components using a bioluminescence resonance energy transfer assay in mammalian cells that showed that selenocysteine synthase (SEPSECS), SECp43, and selenophosphate synthetases SEPHS1 and SEPHS2 form oligomers in eukaryotic cells. We also showed that SEPHS2 interacts with SEPSECS and SEPHS1; these interactions were confirmed by co-immunoprecipitation. To further analyze the interactions of SECp43, the protein was expressed in Escherichia coli, and small-angle X-ray scattering analysis revealed that it is a globular protein comprising two RNA-binding domains. Using phage display, we identified potential interaction sites and highlighted two residues (K166 and P167) required for its dimerization. The SECp43 structural model presented here constitutes the basis of future exploration of the protein-protein interactions among early components of the selenocysteine biosynthesis and incorporation pathway.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it