Inhibitors of Apoptosis Proteins (IAPs): Clinical Significance in Cancer Treatment Research
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.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".