Tropical Medicine: A Clinical Text, 8th Edition, Revised and Expanded
Bibliographic record
Abstract
A major regulatory influence over gene expression is the dynamic post translational methylation of histone proteins, with major implications from both lysine methylation and demethylation. The KDM5/JARID1 sub-family of Fe(II)/2-oxoglutarate dependent lysine-specific demethylases is, in part, responsible for the removal of tri/dimethyl modifications from lysine 4 of histone H3 (i.e., H3K4me3/2), a mark associated with active gene expression. Although the relevance of KDM5 activity to disease progression has been primarily established through its ability to regulate gene expression via histone methylation, there is evidence that these enzymes may also target non-histone proteins. To aid in the identification of new non-histone substrates, we examined KDM5A in vitro activity towards a library of 180 permutated peptide substrates derived from the H3K4me3 sequence. From this data, a recognition motif was identified and used to predict candidate KDM5A substrates from the methyllysine proteome. High-ranking candidate substrates were then validated for in vitro KDM5A activity using representative trimethylated peptides. Our approach correctly identified activity towards 90% of high-ranked substrates. Here, we have demonstrated the usefulness of our method in identifying candidate substrates that is applicable to any Fe(II)- and 2-oxoglutarate dependent demethylase.
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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; both teacher heads agree on what is shown here.
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".