Streptomyces protein secretion and its application in biotechnology
Bibliographic record
Abstract
Bacteria are of tremendous importance in the pharma- and bio-industry as producers of a broad range of economically interesting metabolites and proteins. Gram-positive bacteria are valuable hosts for the production of heterologous proteins for obvious reasons. Contrary to Gram-negative bacteria, Gram-positive bacteria release their secreted proteins immediately into the spent culture broth as they are not hindered by an outer membrane. Secretory protein production also avoids the formation of inclusion bodies, hence facilitating downstream processing. Eight protein secretion pathways have been described in Gram-positive bacteria, but solely the general secretion or Sec pathway and, to a lesser extent, the Twin-arginine pathway, are used for the recombinant protein production. This process is not always successful, but might be hampered by inefficient secretion, misfolding of the recombinant protein, its degradation by proteases and metabolic burden by the host hindering proper growth and diminishing product yield. In this review, the different protein export avenues will be briefly discussed, and the potential means to optimize protein secretion and yields for the Streptomyces lividans model presented. The proposed approaches are largely applicable for other Streptomyces host systems.
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 | 0.001 | 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".