Review of procaryote metabolism in view of modeling microbial adaptation from fast growth to starvation conditions
Bibliographic record
Abstract
More than 50 years ago, Monod (1949) proposed the application of the Michaelis–Menten relation describing enzyme kinetics to a culture of microorganisms. For the purpose of simplification, the mathematical relation proposed by Monod (1949) reduced the entire cell to a single enzyme genetically expressed in a single intensity. However, cell metabolism is based on a large number of biochemical reactions. This paper reviews the literature to identify the controlling factors of cell metabolism and the regulation of specific activity of the cell. The literature review was designed to highlight which regulation mechanisms induce a growth-rate variation so that they can be expressed mathematically. The study of these processes will focus on modeling the specific activity variation. The review is limited to heterotrophic procaryote organisms under aerobic conditions. Key words: modeling, metabolism, regulation, growth rate, cell death, maintenance, activated sludge.
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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) | 0.000 | 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 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".