Antibacterial Activity study of Musizin isolated from Rhamnus wightii Wight & Arn.
Bibliographic record
Abstract
The crude extracts and the compounds isolated from traditional medicinal plants are used to treat infectious diseases caused by bacteria, fungi, and viruses. An attempt has been made in the present investigation to evaluate the antibacterial activity of musizin isolated from Rhamnus wightii, (Family: Rhamnaceae) against Gram-positive (Bacillus cereus, Staphylococcus aureus, Streptococcus faecalis), and Gram negative (Escherichia coli, Klebsiella pneumonia, and Pseudomonas aeruginosa) bacteria. The tested compound showed more pronounced antibacterial activity against the tested pathogens than the standard antibiotics like streptomycin and gentamycin with the lowest minimum inhibitory concentration (MIC). Molecular docking analysis was performed to study the effectiveness of musizin compared to the standard antibiotics; it showed a significant interaction with the target proteins such asalgR (P. arginosa), divIVA (E. faecalis), icaA (S. aureus), plcR(B. cereus), treC (K. pneumonia) and ftsl (E. coli) and found that musizin showed higher potential with least binding energy. It has also been found that musizin had better ADMET properties than the standard drugs. Thus, musizin acts as an inhibitor of bacterial growth for consideration as a drug to treat bacterial infections.
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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) | 0.000 | 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) | 0.001 | 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".