Therapeutic Discovery for Chromatin Complexes: Where Do We Stand?
Bibliographic record
Abstract
In this review, we explore the current landscape of preclinical and clinical therapeutics targeting epigenetic complexes in cancer, focusing on targets with enzymatic inhibitors, degraders, or ligands capable of disrupting protein–protein interactions. Current strategies face challenges such as limited single-agent clinical efficacy due to insufficient disruption of chromatin complexes and incomplete dissociation from chromatin. Further complications arise from the adaptability of cancer cell chromatin and, in some cases, dose-limiting toxicity. The advent of targeted protein degradation (TPD) through degrader compounds such as proteolysis-targeting chimeras provides a promising approach. These innovative molecules exploit the endogenous ubiquitin–proteasome system to catalytically degrade target proteins and disrupt complexes, potentially amplifying the efficacy of existing epigenetic binders. We highlight the status of TPD-harnessing moieties in clinical and preclinical development, as these compounds may prove crucial for unlocking the potential of epigenetic complex modulation in cancer therapeutics.
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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".