Exploring the Role of Plant Carbonic Anhydrase-like Enzymes in the Synthesis of Neuroactive Alkaloids
Bibliographic record
Abstract
The paper titled "Role of Plant Carbonic Anhydrase-Like Enzymes in Neuroactive Alkaloid Biosynthesis" published in the journal Nature on November 8, 2023, by authors Ryan S. Nett, Yaereen Dho, Chun Tsai, among others, from the Department of Chemical Engineering at Stanford University, the Howard Hughes Medical Institute, and the Department of Molecular and Cellular Biology at Harvard University, etc. This study focuses on a class of plant carbonic anhydrase-like enzymes (CALs) that play a key role in the biosynthesis of neuroactive alkaloids in gymnosperms. Through in-depth analysis of the biosynthetic pathways in ferns, the research team revealed how these CAL proteins participate in the generation of neuroactive gymnosperm alkaloids, such as huperzine A, through a series of complex enzyme-catalyzed reactions. This work not only expands our understanding of plant-specific metabolic pathways but also provides a new perspective for the future discovery and development of plant alkaloid-based medications.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".