Additional file 1 of A small protein coded within the mitochondrial canonical gene nd4 regulates mitochondrial bioenergetics
Bibliographic record
Abstract
Additional file 1: Table S1. Identification of mitochondrial smORFs and altORFs - in silico approach. Table S2. Identification of mitochondrial smORFs and altORFs - OpenProt approach and sequences selected for antibody production. Table S3. Identification of mitochondrial smORFs and altORFs - MS approach and sequences selected for antibody production. Table S4. List of proteins found by mass spectrometry following immunoprecipitation. Table S5. List of proteins found by mass spectrometry following pull down assay. Table S6. Dose-dependent impact of MTALTND4 on routine respiration of intact HeLa and HEK-293T cells. Table S7. Impact of 10 µM MTALTND4 on mitochondrial respiration of intact HeLa and HEK-293T cells. Table S8. Impact of 10 µM MTALTND4 on mitochondrial respiration of permeabilized HEK-293T cells. Table S9. Impact of MTALTND4 on intact HEK-293T cell's lactic fermentation, antioxidant capacity, ATP content and hydrogen peroxide efflux rate. Table S10. Dose- and time-dependent impact of MTALTND4 on HeLa cells proliferation and viability.
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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.846 | 0.236 |
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".