Translational Control Through the EIF4E Binding Proteins in the Brain
Bibliographic record
Abstract
Abstract Translation of messenger RNA (mRNA) into protein (protein synthesis) is a highly regulated process that controls gene expression. Various signaling pathways, including the mammalian target of rapamycin (mTOR), control mRNA translation at the initiation step. mTOR is part of a multi-subunit complex that regulates mRNA translation initiation by phosphorylating and inactivating the eukaryotic initiation factor 4E binding proteins (4E-BPs). 4E-BPs are a central mechanism in the control of cap-dependent translation in the brain. This chapter reviews the involvement of the 4E-BPs, particularly 4E-BP2, in brain development and synaptic transmission. Furthermore, it discusses the involvement of 4E-BP2 in autistic-like alterations, learning and memory, circadian rhythm regulation, and its roles in the pathophysiology and treatment of psychiatric (depressive disorders, schizophrenia) and neurodegenerative disorders (Parkinson’s).
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".