Inhibitors of Apoptosis Proteins (IAPs): Clinical Significance in Cancer Treatment Research
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
Apoptosis is a process, which involves a sequence of cellular changes, which ultimately lead to cell death. This programmed cell death is a normal phenomenon required for growth of an organism. Inhibition of apoptosis can result in a number of cancers, inflammatory and autoimmune diseases and viral infections. Inhibitors of apoptosis proteins (IAPs) are a family of structurally and functionally related proteins, which play a crucial role in apoptosis (programmed cell death), proliferation and angiogenesis. Till date 8 IAPs have been identified (Survivin, XIAP, Livin, cellular IAP 1 and 2, ILP-2, NAIP and BRUCE/Apollon). The current review discusses individual protein in details with respect to its structural features, functions and clinical significance. These proteins; especially survivin, XIAP and Livin have been found to express in wide range of malignancies and hence taken as a target of interest by various research groups. The review also highlights the various Phase- 1 and 2 studies of new therapeutic agents that are being developed either as a monotherapy or in combination with existent drugs, which target these IAPs.
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 | 0.005 | 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 it