Chemodiversity of Cyanobacteria from Brazil Investigated by Metabolomics and Bioassays
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Investigations on cyanobacterial secondary metabolites in Brazil have been scarce, despite the country’s significant biodiversity. Herein, we report the results of a screening of cyanobacterial cultures using both bioassays and untargeted metabolomics. Nineteen cyanobacterial strains collected at various locations in Brazil were cultured. Cultures were extracted and prefractionated. Fractions were evaluated for antibacterial, cytotoxic, and antileishmanial activities. The same fractions were analyzed by UHPLC–HRMS–MS/MS. Results from bioassays and LC–MS were integrated using metabolomics tools such as NP Analyst and GNPS Molecular Networking, allowing for feature prioritization. Cyanobacteria belonging to genera Calothrix and Phormidium presented high-priority molecular features associated with observed biological activities, indicating that such strains are producers of potentially novel and bioactive metabolites.
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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 | 0.000 | 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) | 0.000 | 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".