Synthesis of glycolipids inspired by Fucus distichus and natural product isolation and characterization of Euphorbia lancifolia
Bibliographic record
Abstract
The ethanolic extracts of Fucus distichus, a freshwater brown algae harvested from Ungava Bay in northern Quebec, have demonstrated antiviral and antibiotic activity. The major component and potential active molecule from this seaweed was identified as a glycolipid consisting of beta- D-galactose linked to two o-linolenic acid chains via a glycerol unit. The synthesis of this glycolipid, as well as a number of derivatives, is described to investigate their antibiotic and antiviral activity relative to the natural product. One major family of analogues explored includes C-linked glycolipids, where a carbon-carbon linkage replaces the metabolically unstable C-O ester bond between the sugar and the glycerol in the natural product. The natural product, as well as eight other analogues were synthesized. Bioactivity data for some of the compounds is described. In a second project, an investigation into the major constituents of Euphorbia lancifolia (Ixbut) was undertaken. Although there have been no in-depth reported chemical studies of E. lancifolia to date, traditional medicine in Latin America claims that the plant leaves can be used in herbal tea as a galactogogue, a drug which induces lactation. The goal of this study was to identify the major constituents of E. lancifolia as the first step in investigating the claims regarding the plant's biological activity. Nine compounds, including the novel triterpene derivative beta-amyryl ferulate, were identified and isolated. Biological assays testing the ability of these compounds to interact with the metabolism of dopamine, an important hormone in lactation, will be undertaken shortly.
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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".