Engineering of the UGT86C11 Glycosyltransferase for Improving Catalytic Efficiency and Efficient Biosynthesis of Neoandrographolide
Bibliographic record
Abstract
Neoandrographolide is a bioactive diterpenoid biosynthesized in the medicinal plant Andrographis paniculata by the C 19 - O -glycosyltransferase UGT86C11. Neoandrographolide supply typically suffers owing to its inadequate amounts in A. paniculata, highlighting the need for an efficient bioprocess to produce this compound. We combined computational modeling of UGT86C11 structure and diterpenoid binding dynamics with site-directed mutagenesis and developed UGT86C11 variants (E163A, T403A, and F404A) exhibiting ∼2-fold increased catalytic efficiency. E163A, T403A, and F404A displayed increased turnover of the C 19 - O -glycosylation reaction. Moreover, T403A and F404A showed higher affinity for the UDP-glucose sugar donor. Escherichia coli expression of UGT86C11 variants, coupled with an improved UDP-glucose regeneration system, enabled a remarkable biotransformation rate of neoandrographolide, reaching up to 91% conversion as compared to ∼45% using native UGT86C11. Besides, UGT86C11 variants demonstrated ∼6-fold higher neoandrographolide biosynthesis in Nicotiana benthamiana . Thus, the engineered UGT86C11 presents a promising avenue for the efficient production of neoandrographolide using both plant and microbial hosts.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".