An Approach to Whole-Genome Identification of IRES Elements
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
Spatial and temporal control of proteome expression is critical for cellular homeostasis. The ability to regulate polypeptide synthesis allows the cell to rapidly respond to changes in its environment. Under stress conditions, capdependent translation initiation is downregulated and alternative mechanisms of translation initiation are favoured for the production of critical proteins that ultimately determine whether the cell is able to overcome the stress. One such alternative mechanism of translation initiation is mediated by sequence elements located downstream of the 5 cap structure that are able to directly recruit ribosomes to a region proximal to the translation start site. Identifying the eukaryotic mRNAs that contain such internal ribosome entry sites (IRESes) is an important first step in cataloguing the cellular complement of proteins whose expression is translationally regulated during cellular stress and understanding how cells regulate translation under stress conditions. To date, no consensus sequence motif or structure has been identified as a signature of cellular IRES activity, making it difficult to identify the full complement of eukaryotic IRESes. This review will underscore the challenges faced in identifying IRESes on a genomic scale and potential solutions will be presented. Keywords: IRES, translation, stress, differentiation, microarray, polysome
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 | 0.000 | 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