Microbial endophytes: an untapped resource with antitumor and anti-microbial properties
Bibliographic record
Abstract
Endophytes (mostly fungi and bacteria) are the microorganisms living in close symbiotic association with plants. Endophytes growing within medicinal plants in hostile environments are considered to produce novel as well as chemically and structurally diverse secondary metabolites. These metabolites are being used as clinical grade drug targets due to their less toxicity over other conventional drugs for diseases like cancer, microbial infections. Endophytes extracts are also exploited in food, agrichemical and biotechnology industries. Asparaginase of bacterial origin is widely used antitumor drug. The quint essential role of endophytes is their activity against microorganisms which can open gates in the field of biomedical research. This review mainly focuses on endophytes from medicinal plants as a source of antitumor and antimicrobial agents. Also highlights the need to focus on finding alternatives methods of endophytes isolation and production as well as characterization, purification and genetic transformations in order get maximum benefits.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".