Dynamic protein methylation in chromatin biology
Bibliographic record
Abstract
Since histones were first discovered over one hundred years ago a great deal has been learned about the structure and function of these small basic proteins [ 1 ]. Importantly, histone molecules interact to form a scaffolding unit capable of compacting DNA within the relatively small confines of the nucleus [ 2 ]. Compaction is achieved by wrapping DNA around a globular histone octamer composed of a tetramer of histone H3/H4 and two dimers of H2A/H2B. Together, this DNA-protein structure is called a nucleosome and forms the basic repeated unit of chromatin. This classical view of chromatin as a simple structural entity has recently been superseded by a wide body of evidence demonstrating that nucleosome deposition, subunit composition, and post-translational modification can profoundly affect how chromatin function is regulated. For example, nucleosome placement over defined regulatory elements can impact how transcription factors recognize DNA and regulate transcription [ 3 ], incorporation of histone variants into the octamer can define how the nucleosome functions [ 4 ], and post-translational modification of histone tails can act as nucleation sites for factors involved in chromatin regulation and metabolism [ 5 , 6 ].
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".