Microbial Reactions on 7<i>α</i>‐Hydroxyfrullanolide and Evaluation of Biotransformed Products for Antibacterial Activity
Why this work is in the frame
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Bibliographic record
Abstract
7alpha-Hydroxyfrullanolide (1), a known sesquiterpenoid, was isolated from Sphaeranthus indicus using an antibacterial-activity-directed fractionation method. This compound had exhibited a significant antibacterial activity against Gram-positive bacteria. Chemical and microbial reactions were performed to prepare eight different analogues of compound 1 in order to evaluate these newly synthesized compounds for antibacterial activity. These compounds were 1beta,7alpha-dihydroxyfrullanolide (2), 7alpha-hydroxy-1-oxofrullanolide (3), 4,5-dihydro-7alpha-hydroxyfrullanolide (4), 11,13-dihydro-7alpha-hydroxyfrullanolide (5), 13-acetyl-7alpha-hydroxyfrullanolide (6), 2alpha,7alpha-dihydroxysphaerantholide (7), 4alpha,5alpha-epoxy-7alpha-hydroxyfrullanolide (8), and 4beta,5beta-epoxy-7alpha-hydroxyfrullanolide (9). Microbial reactions on 1 using whole-cell cultures of Cunninghamella echinulata and Curvularia lunata yielded compounds 2-4. Incubation of compound 1 with the liquid cultures of Apsergillus niger and Rhizopus circinans yielded metabolites 5-7, while 8 and 9 were prepared by carrying out an epoxidation reaction on 1 using meta-chloroperbenzoic acid (mCPBA). Structures of compounds 2-9 were elucidated with the aid of extensive NMR spectral studies. Compounds 2-4 were found to be new metabolites. Compounds 1-9 were evaluated for antibacterial activity and found to exhibit a wide range of bioactivities. Antibacterial-activity data of 1-9 suggested that the bioactivity of 1 is largely due to the presence of C4=C5, C11=C13, and a gamma-lactone moiety.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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 it