Probing Inhibitory Effects of <i>Antrodia camphorata</i> Isolates Using Insect Cell-Based Impedance Spectroscopy: Inhibition vs Chemical Structure
Bibliographic record
Abstract
A continuous online technique based on electric cell-substrate impedance sensing (ECIS) was used for probing inhibitory effects on Spodoptera frugiperda Sf9 insect cells exposed to structurally similar compounds isolated and purified from the fruiting bodies of the fungus Antrodia camphorata. Such chemicals consisted of three ergostane-related steroids and five lanosta-related triterpenes, which are known for their diverse properties and use in the formulation of nutraceuticals and functional foods. The half-inhibition concentration (ECIS(50)), the level at which 50% inhibition of the resistance response was obtained, was determined from the response function to establish inhibitory effects of the different isolates. A slight change in their chemical structures resulted in significant effects on inhibition as probed by impedance spectroscopy. The ergostane-related steroids were mostly inhibitory, but replacing their ketone groups with hydrogen or hydroxyl groups significantly reduced the inhibition. Similarly, the addition of methyl or carboxymethyl groups also lowered the inhibition. Removal of the double bond conjugation within the rings (sulfurenic acid) of the isolate drastically reduced the inhibition.
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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) | 0.001 | 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".