Probing inhibitory effects of destruxins from Metarhizium anisopliae using insect cell based impedance spectroscopy: inhibition vs chemical structure
Bibliographic record
Abstract
A noninvasive technique based on electric cell-substrate impedance sensing (ECIS) was demonstrated for on-line probing inhibitory effects of five destruxins on Spodoptera frugiperda Sf9 insect cells. Such chemically structurally similar cyclic hexadepsipeptides, were isolated and purified from the fungus Metarhizium anisopliae. Based on a response function, the inhibitory effect of the destruxins was established from determining the half-inhibition concentration (ECIS50), i.e., the level at which 50% inhibition of the cell response was obtained. Probing by cell based impedance spectroscopy indicated that only a slight change in their chemical structures provoked a significant effect on inhibition. Destruxin B was most inhibitory but replacement of a single methyl group with hydrogen (destruxin B2) or addition of a hydroxyl group (destruxin C) significantly reduced the inhibition. The removal of one methyl group and one hydrogen (destruxin A) lowered the inhibitory effect even more whereas the formation of an epoxy ring (destruxin E) in the structure nullified the inhibitory effect.
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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 | 0.000 | 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 | 0.001 |
| 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 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".