Bibliographic record
Abstract
The best-understood targets for mTOR complex 1 (mTORC1) are proteins that are involved in mRNA translation or in its control. They include the ribosomal protein S6 kinases and the eukaryotic initiation factor (eIF) 4E-binding proteins (4E-BPs). The latter regulate the availability of the cap-binding protein eIF4E and the formation of eIF4F complexes which promote the translation of certain mRNAs. The physiological roles of the S6 kinases are less clear. 4E-BPs and S6 kinases all contain a TOR-signaling (TOS) motif which allows them to interact with the mTORC1 component raptor and facilitates their phosphorylation by mTORC1. Two other proteins, the transcriptional regulator hypoxia-inducible factor (HIF)-1α and proline-rich Akt substrate 40 kDa (PRAS40), also contain TOS motifs and are regulated by mTORC1. Several other processes are also controlled by mTORC1; these include translation elongation (through the regulation of eukaryotic elongation factor (eEF2) kinase), autophagy, and the transcription of genes involved in mitochondrial function. Here, we review current understanding of signaling downstream of mTORC1.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.023 |
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".