Identification of a DNA processing complex from <i>Deinococcus radiodurans</i>
Bibliographic record
Abstract
An efficient DNA strand break repair contributes to the radioresistance of Deinococcus radiodurans, which harbors the DNA repair pathways nearly identical to Escherichia coli. The molecular mechanisms of these proteins functioning in 2 diverse classes of bacteria seem to be different. The macromolecular interactions and formation of multiprotein complexes in vivo have gained significant importance in explaining the mechanism of the complex cellular processes. Here, we report the identification of a novel DNA metabolic protein complex from D. radiodurans. A similar complex has, however, not been found in E. coli. Mass spectrometric analysis showed the presence of a few known DNA repair proteins, molecular chaperones, and a large number of uncharacterized proteins from D. radiodurans R1. Biochemical and immunoblotting results indicated the presence of the protein promoting DNA repair A, DNA polymerase, Mg2+, and (or) Mn2+ -dependent 5'-->3' exonuclease activity along with protein kinase activity and phosphoproteins. DNA ligase activity was completely dependent upon the ATP requirement, as no ligase activity was seen in the presence of NAD as a cofactor. These results suggest the molecular interactions of the known DNA repair proteins with uncharacterized proteins in the macromolecular complex and the regulation of DNA degradation with the involvement of ATP and protein kinase functions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".