Repurposing of Berbamine Hydrochloride to Inhibit Ebola Virus by Targeting Viral Glycoprotein
Bibliographic record
Abstract
Abstract Ebola virus (EBOV) infection leads to staggeringly high mortality rates. Effective and low-cost treatments are urgently needed to control frequent EBOV outbreaks in Africa. In this study, we report that a natural compound called berbamine hydrochloride strongly inhibits EBOV replication in vitro and in vivo. Our work further showed that berbamine hydrochloride acts by direct binding to the cleaved EBOV glycoprotein (GPcl), disrupting GPcl interaction with viral receptor NPC1, thus blocking the fusion of viral and cellular membranes. Our data support the probability of developing anti-EBOV small molecule drugs by targeting viral GPcl. More importantly, since berbamine hydrochloride has been used in clinic to treat leukopenia, it holds great promise of being quickly repurposed as an anti-EBOV drug.
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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) | 0.003 | 0.001 |
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".