Antiviral Activity of Natural Compounds Immuno Formula Shiban2/5 against SARS-CoV-2
Bibliographic record
Abstract
SARS-CoV-2 poses a significant risk to global healthcare systems based on the recent worldwide COVID-19 pandemic. Spike proteins are the hallmark of SARS-Cov-2, which bind to ACE2 receptors that lead to cell and membrane fusion. To address and alleviate respiratory health issues, we at Shiban Pharma have developed a range of natural products derived from plant and herb extracts, recognized for their antiviral activity against SARS-CoV-2, such as propolis extracts. In this study, we are evaluating the effects of the immuno-formula Shiban 2 and Shiban 5 (IF 2/5) on the infection of airway epithelial cells (A549) and primary airway epithelial cell (PAEC) by SARS-CoV-2. The objective is to evaluate the effects of IF 2/5 and of a placebo on viral infection. Our in vitro data demonstrates that IF 2/5 inhibits SARS-CoV-2 replication in a dose-dependent manner. Moreover, the compounds in IF 2/5 exhibit synergy, as determined by the Bliss method and Bliss synergy score. The Bliss synergy model was applied to explore the interaction between Propolis and Tannic Acid in modulating SARS-CoV-2 infection inhibition. Finally, our IF 2/5 also displays anti-inflammatory effects on cytokine markers IL-17A, IL-17F, and IL-8, contributing to an antiviral immunomodulatory response in the Propolis and Tannic Acid combination in vitro.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 teacher head, 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".