Fungal Dihydroxynaphthalene-Melanin: Diversity-Oriented Biosynthesis through Enzymatic and Non-enzymatic Transformations
Bibliographic record
Abstract
Tetrahydroxynaphthalene reductase (T4HNR) from Magnaporthe grisea catalyzes the reduction of polyhydroxynaphthalenes, hydroxynaphthoquinones, and 1,4-diketones, with extensive ramifications for the biosynthesis of (shunt) metabolites related to 1,8-dihydroxynaphthalene (DHN)-melanin biosynthesis. Hence, an extended model for DHN-melanin biosynthesis has been developed which is based on a screening hypothesis involving non-enzymatic transformations such as oxidations and tautomerism. This has led to the broadening of the functions of several short-chain dehydrogenases/reductases (SDRs) capable of reducing polyhydroxyanthracenes, polyhydroxynaphthalenes, and polyhydroxybenzenes. Our work, broadening the scope of enzymatic dearomatization reactions, provides access to the biocatalytic synthesis of a variety of natural and natural-like products. Furthermore, the results described in this account provide the basis for the identification of other SDRs amenable to reducing aromatic compounds, and thus enable the identification of biosynthetic gene clusters most likely involved in the biosynthesis of aromatic polyketides. 1 Introduction 2 Biosynthesis of 1,8-Dihydroxynaphthalene (DHN) 3 Biosynthesis of Shunt Metabolites and the Origin of Molecular Diversity 3.1 Role of Spontaneous Non-enzymatic Oxidations 3.2 Role of T4HNR and T3HNR 3.3 Role of Tautomerism in the Biosynthesis of (Shunt) Metabolites 4 Extended Melanin Biosynthesis: A Screening Hypothesis 5 Useful Outcomes of the Newly Identified Melanin Biosynthetic Pathway 5.1 NADP+ Regeneration Using Lawsone as Mediator 5.2 Anthrahydroquinone as an Intermediate in the Biosynthesis of Chrysophanol and Other Anthraquinone-Derived Products 5.3 Combination of T3HNR and GDH To Access trans-Ketodiols 5.4 Phloroglucinol Reductases (PGRs) To Dearomatize Monomeric Phenols 6 Conclusion
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".