Synthetic Inhibitors of the Fungal Detoxifying Enzyme Brassinin Oxidase Based on the Phytoalexin Camalexin Scaffold
Bibliographic record
Abstract
Brassinin (1) is an essential phytoalexin produced in plants of the family Brassicaceae (common name crucifer) due to its role as a biosynthetic precursor of other phytoalexins and antimicrobial activity. The dithiocarbamate group of brassinin (1) is the toxophore responsible for its fairly broad antifungal activity. To the detriment of many agriculturally important crops, several pathogenic fungi of crucifers are able to overcome brassinin by detoxification. In this work, inhibitors of brassinin oxidase, a phytoalexin detoxifying enzyme produced by the plant pathogenic fungus Leptosphaeria maculans (asexual stage Phoma lingam ), were synthesized and evaluated. The camalexin scaffold was used for the design of brassinin oxidase inhibitors (i.e., paldoxins, phytoalexin detoxification inhibitors) because camalexin is a phytoalexin not produced by the Brassica species and L. maculans is unable to metabolize it. The inhibitory effect of camalexin and derivatives decreased as follows: 5-methoxycamalexin > 5-fluorocamalexin = 6-methoxycamalexin > camalexin > 6-fluorocamalexin; 5-methoxycamalexin was determined to be the best inhibitor of brassinin oxidase discovered to date. In addition, the results suggested that camalexin might induce fungal pathways protecting L. maculans against oxidative stress (induction of superoxide dismutase) as well as brassinin toxicity (induction of brassinin oxidase). Overall, these results revealed additional biological effects of camalexin and its natural derivatives and emphasized that different phytoalexins could have positive or negative impacts on plant resistance to different fungal pathogens.
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 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".