Adenylate-driven equilibration of both ribo- and deoxyribonucleotides is under magnesium control: Quantification of the Mg2+-signal
Bibliographic record
Abstract
Nucleoside mono-, di- and triphosphates (NMP, NDP, and NTP) and their deoxy-counterparts (dNMP, dNDP, dNTP) are involved in energy metabolism and are the building blocks of RNA and DNA, respectively. The production of NTP and dNTP is carried out by several NMP kinases (NMPK) and NDP kinases (NDPK). All NMPKs are fully reversible and use defined Mg-free and Mg-complexed nucleotides in both directions of their reactions, with Mg 2+ controlling the ratios of Mg-free and Mg-complexed reactants. Their activities are driven by adenylates produced by adenylate kinase which controls the direction of NMPK and NDPK reactions, depending on the energy status of a cell. This enzymatic machinery is localized in the cytosol, mitochondria, and plastids, i.e. compartments with high energy budgets and where (except for cytosol) RNA and DNA synthesis occur. Apparent equilibrium constants of NMPKs, based on total nucleotide contents, are [Mg 2+ ]-dependent. This allows for an indirect estimation of internal [Mg 2+ ], which constitutes a signal of the energetic status of a given tissue/cell/compartment. Adenylates contribute the most to this Mg 2+ -signal, followed by uridylates, guanylates, and cytidylates, with deoxynucleotides’ contribution deemed negligible. A method to quantify the Mg 2+ -signal, using nucleotide datasets, is discussed.
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 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".