Screening of Anticancer Materials from Myxobacteria in Different Natural Ecological Environment
Bibliographic record
Abstract
By study on ecological diversity of myxobacteria in some areas of Hebei, Yunnan Province and theQinghai-Tibet Plateau, more than 150 strains of 10 genera (Archangium, Myxococcus, Cystobacter,Corallococcus, Melittangium, Sorangium, Polyangium, Chondromyces, Angiococcus and Stigmatella) ofMyxococcales were isolated from 42 samples, including some special strains that have never been describedbefore. The isolated strains were preliminary identified at generic level by fruiting bodies, swarms, myxosporesand vegetative cells. Myxobacteria strains that were preserved by the Key Lab of Microbial Diversity Researchand Application of Hebei Province were used to screen anticancer drugs by MTT high throughout method, withtumor cell lines such as L1210, Hela and MRC-5 as screening model. The result demonstrated that most of thestrains could inhibit growth of tumor cells. The inhibition rates were about 78.5% to L1210 cell line, about 59%to Hela cell line. Strain 910018 and 920036 showed higher bioactivity for growth inhibition of L1210 and Helacell lines, while showed lower bioactivity to MRC-5 cell line. Therefore, both of strains are valued for in vivotumor inhibition experiments.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".