Bibliographic record
Abstract
Lysine methylation is a prominent covalent modification of histones, transcription factors, and other nuclear proteins. Site‐specific lysine methylation has been implicated in regulating a myriad of genomic processes, including transcription, DNA damage response, X‐chromosome inactivation, and genome stability. In addition to the site of methylation, the lysine epsilon‐amine group can undergo mono‐, di‐, or trimethylation, imparting a hierarchical level of specificity in methyllysine signaling. Both the site and degree of methylation are dynamically regulated through the concerted activities of lysine methyltransferases and demethylases, permitting the fine‐tuning of lysine methylation status in vivo. Structural and biochemical studies of the SET domain family of lysine methyltransferases and the JmjC class of lysine demethylases have furnished insights into the substrate specificities of these enzymes and have yielded a framework for understanding the molecular mechanisms underlying the dynamics of lysine methylation. This research is supported by grants from the National Institutes of Health (GM073839), the University of Michigan's Office of the Vice President for Research, and the Canadian Institutes of Health Research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".