An affinity-based probe for methyltransferase enzymes based on sinefungin
Bibliographic record
Abstract
Epigenetics control numerous cellular processes such as gene transcription, signal transduction, and protein stabilization. An understanding of epigenetic mechanisms can lead to the development of therapeutic agents for various diseases. Herein, we report the design and synthesis of a sinefungin affinity-probe (BpyneSF) that targets methyltranferase enzymes and proteins involved in recognition of methylation. This probe contains a bioorthogonal alkyne residue for conjugation using the copper-catalyzed azide–alkyne cycloaddition and a photoactivatable crosslinker group for covalent attachment of the probe to its proteomic targets. We investigate the efficiency and selectivity of the probe to inhibit and label methyltransferase enzymes, and we demonstrate, through in-gel fluorescence, on-bead digestion, and tandem mass spectrometry, that BpyneSF can label methyltransferase SETD2 and reader proteins in vitro. These results establish the utility of BpyneSF as a tool for affinity-based protein profiling in complex biological environments.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".