MutL: conducting the cell's response to mismatched and misaligned DNA
Bibliographic record
Abstract
Base pair mismatches in DNA arise from errors in DNA replication, recombination, and biochemical modification of bases. Mismatches are inherently transient. They are resolved passively by DNA replication, or actively by enzymatic removal and resynthesis of one of the bases. The first step in removal is recognition of strand discontinuity by one of the MutS proteins. Mismatches arising from errors in DNA replication are repaired in favor of the base on the template strand, but other mismatches trigger base excision or nucleotide excision repair (NER), or non-repair pathways such as hypermutation, cell cycle arrest, or apoptosis. We argue that MutL homologues play a key role in determining biologic outcome by recruiting and/or activating effector proteins in response to lesion recognition by MutS. We suggest that the process is regulated by conformational changes in MutL caused by cycles of ATP binding and hydrolysis, and by physiologic changes which influence effector availability.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.007 |
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".