Screening of Alternative Carbon Sources for Recombinant Protein Production in <i>Pichia pastoris</i>
Bibliographic record
Abstract
Abstract Seventeen carbon sources were screened to identify those with the potential to support pGAP-regulated recombinant enzyme production by Pichia pastoris , using phytase as a model product. Of these, four, namely glucose, glycerol, fructose and ethanol, supported cell growth and enzyme production, and the performance of the latter two was analyzed. Ranges of acceptable residual carbon source concentrations, i.e. those at which no substrate-related growth inhibition occurred, were determined and used to design fed-batch bioreactor-based processes. In fed-batch cultures, fructose supported higher biomass concentrations and equivalent extracellular enzyme activities than glucose. The same metrics for the cultures grown on ethanol were comparable to those of the cultures grown on glucose, but with a greater required fermentation time.
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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 | 0.001 |
| 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".