Exploring the multiple facets of the meiotic recombinase Dmc1
Bibliographic record
Abstract
Meiotic recombination in eukaryotic cells requires two homologs of E. coli RecA protein, Rad51 and Dmc1. Until recently, the role of Dmc1 in meiotic recombination was mostly attributed to genetic studies as purified Dmc1 was found to be a much weaker recombinase than Rad51 in the test tube. Now, Sehorn and colleagues1 have reported that, like Rad51, human Dmc1 is an efficient recombinase in vitro. Dmc1 forms helical nucleoprotein filaments--the signature of classical recombinases such as Rad51. These observations reveal a high level of similitude between the Dmc1 and the Rad51 family of recombination enzymes in higher eukaryotes.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".