Advances in Development of Phosphatidylinositol 3-Kinase Inhibitors
Bibliographic record
Abstract
Phosphatidylinositol 3-kinases (PI3Ks) are a class of lipid kinases that phosphorylate phosphatidylinositol 4,5-bisphosphate (PIP2) at the 3-OH of the inositol ring to generate phosphatidylinositol 3,4,5-trisphosphate (PIP3), which in turn activates Akt and the downstream effectors like mTOR, and therefore play important roles in cell growth, survival, etc. The phosphatase and tensin homolog deleted in chromosome ten (PTEN), acts as the catalytic antagonist of PI3K by dephosphorylating PIP3 to PIP2. PI3K has become an important drug target for cancer therapy, since gain-of-function mutations of PIK3CA encoding PI3Kalpha, as well as loss-of-function mutations of PTEN, have been frequently found in human cancers. The pharmaceutical development of PI3K inhibitors has made a great leap forward during the last 3 years. While PI3Kbeta, delta and gamma isoform-specific PI3K inhibitors (TGX-221, IC87114 and AS-605240) have been developed for therapy of coronary heart disease, asthma, and glomerulonephritis, respectively, a promising PI3Kalpha specific inhibitor is not yet available. Correspondingly, almost all of the promising PI3K inhibitors under development for caner therapy, such as NVP-BEZ235, GDC-0941 and ZSTK474, are pan-PI3K isoform inhibitors. Each of these pan-PI3K inhibitors seems to induce a common G1 phase arrest. All have shown favorable in vivo anticancer efficacies and low toxicities, and therefore most have entered evaluation in clinical trials. P-Akt and p-S6 have been reported to be feasible pharmacodynamic biomarkers for monitoring the efficacy of these agents. In the process of discovery of these and other PI3K inhibitors, detailed structure-activity relationship studies were carried out. This review summarizes key advances in the development of PI3K inhibitors, which is preceded by an introduction of PI3K family and their functions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".