Reversing chemoresistance by small molecule inhibition of the translation initiation complex eIF4F
Bibliographic record
Abstract
Deregulation of cap-dependent translation is associated with cancer initiation and progression. The rate-limiting step of protein synthesis is the loading of ribosomes onto mRNA templates stimulated by the heterotrimeric complex, eukaryotic initiation factor (eIF)4F. This step represents an attractive target for anticancer drug discovery because it resides at the nexus of the TOR signaling pathway. We have undertaken an ultra-high-throughput screen to identify inhibitors that prevent assembly of the eIF4F complex. One of the identified compounds blocks interaction between two subunits of eIF4F. As a consequence, cap-dependent translation is inhibited. This compound can reverse tumor chemoresistance in a genetically engineered lymphoma mouse model by sensitizing cells to the proapoptotic action of DNA damage. Molecular modeling experiments provide insight into the mechanism of action of this small molecule inhibitor. Our experiments validate targeting the eIF4F complex as a strategy for cancer therapy to modulate chemosensitivity.
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 | 0.001 | 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 | 0.001 |
| 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".