Chromatographic and mass spectroscopic guided discovery of Trichoderma peptaibiotics and their bioactivity
Bibliographic record
Abstract
Peptaibiotics are linear or cyclic peptide antibiotics characterized by the non-proteinogenic amino acid, alpha-aminoisobutyric acid. They exhibit a wide range of bioactivity against various pathogens. This report presents a comprehensive review of analytical methods for Trichoderma cultivation, production, isolation, screening, purification, and characterization of peptaibiotics, along with their bioactivity. Numerous techniques are currently available for each step, and we focus on describing the most commonly used and recently developed chromatographic and spectroscopic techniques. Investigating peptaibiotics requires efficient culture media, growth conditions, and isolation and purification techniques. The combination of chromatographic and spectroscopic tools offers a better opportunity for characterizing and identifying peptaibiotics. The evaluation of the chemical and biological properties of this compound has also been explored concerning its potential application in pharmaceutical and other industries. This review aims to summarize available data on the techniques and tools used to screen and purify peptaibiotics from Trichoderma fungi and bioactivity against various pathogens.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".