GPAHex-A synthetic biology platform for Type IV–V glycopeptide antibiotic production and discovery
Bibliographic record
Abstract
Glycopeptide antibiotics (GPAs) are essential for the treatment of severe infectious diseases caused by Gram-positive bacteria. The emergence and spread of GPA resistance have propelled the search for more effective GPAs. Given their structural complexity, genetic intractability, and low titer, expansion of GPA chemical diversity using synthetic or medicinal chemistry remains challenging. Here we describe a synthetic biology platform, GPAHex (GPA Heterologous expression), which exploits the genes required for the specialized GPA building blocks, regulation, antibiotic transport, and resistance for the heterologous production of GPAs. Application of the GPAHex platform results in: (1) a 19-fold increase of corbomycin titer compared to the parental strain, (2) the discovery of a teicoplanin-class GPA from an Amycolatopsis isolate, and (3) the overproduction and characterization of a cryptic nonapeptide GPA. GPAHex provides a platform for GPA production and mining of uncharacterized GPAs and provides a blueprint for chassis design for other natural product classes.
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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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".