Substrate specificity of diacylglycerol kinase-epsilon and the phosphatidylinositol cycle
Bibliographic record
Abstract
We show that diacylglycerol kinase-ε (DGKε) has less preference for the acyl chain at the sn-1 position of diacylglycerol (DAG) than the one at the sn-2 position. Although DGKε discriminates between 1-stearoyl-2-arachidonoyl-DAG and 1-palmitoyl-2-arachidonoyl-DAG, it has similar substrate preference for 1-stearoyl-2-arachidonoyl-DAG and 1,2-diarachidonoyl-DAG. We suggest that in addition to binding to the enzyme, the acyl chain at the sn-1 position may contribute to the depth of insertion of the DAG into the membrane. Thus, the DAG intermediate of the PI-cycle, 1-stearoyl-2-arachidonoyl-DAG, is not the only DAG that is a good substrate for DGKε, the DGK isoform involved in PI-cycling.
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 | 0.000 | 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".