New tools for an old question: dependence of ATP and bicarbonate for branched-chain keto acids oxidation
Bibliographic record
Abstract
Abstract Branched-chain keto acids (BCKA) metabolism involves several well-regulated steps within mitochondria, requires cofactors, and is modulated according to the metabolic status of the cells. This regulation has made it challenging to utilize in vitro approaches to determine the contribution of branched-chain amino acid oxidation to energy production. These methodological issues were elegantly addressed in a recent publication within the Biochemical Journal. In this issue, Goldberg et al. [Biochem. J. (2019) 476, 1521–1537] demonstrated in a well-designed system the dependence of ATP and bicarbonate for BCKA full oxidation. In addition, the utilized system allowed the authors to characterize specific biochemical routes within mitochondria for each BCKA. Among them, a quantitative analysis of the participation of BCKA on mitochondrial flux was estimated between tissues. These findings are milestones with meaningful impact in several fields of metabolism.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.012 | 0.028 |
| Insufficient payload (model declined to judge) | 0.004 | 0.006 |
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".