Phosphatidylinositol 3‐kinase inhibitors: promising drug candidates for cancer therapy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Phosphatidylinositol 3-kinases (PI3K) are a group of lipid kinases that phosphorylate phosphoinositides at the 3-hydroxyl group of the inositol ring to generate phosphatidylinositol 3,4,5-trisphosphate, a second messenger with key roles in fundamental cellular responses such as cell proliferation and metabolism. Frequent mutations found in or amplification of the PIK3CA gene and loss of phosphatase and tensin homolog deleted on chromosome 10 function in human tumors suggest that PI3K is a potential target for cancer therapy. During the last 5 years, several specific PI3K inhibitors were developed that were directed against various diseases. Some of them revealed potent anticancer efficacy and are now undergoing clinical trials. Some PI3K inhibitors showed antiangiogenic effects. Combined use of PI3K inhibitors with other chemotherapeutic agents or with radiotherapy produced synergistic therapeutic efficacies in treating cancer and showed reduced side effects. The rapid progress made in developing novel PI3K inhibitors in recent years promises bright prospects for finding a PI3K-targeted anticancer drug in the near future.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it