Bibliographic record
Abstract
Viral co-infection is one of the current and unexplored issues of human infectious diseases.A special place in the progression of these pathologies is occupied by adeno-and herpes viruses being able to long persist in the body.There is a huge lack of knowledge about antiviral activities of specific drugs during the mixed infections.For the testing of the antiviral medication acyclovir (ACV) and for research of new fluorinecontaining analog of L-phenylalanine (10S-24), the model of simultaneous adeno-herpetic infection of MDBK cells was used.Determination of the antiviral effect using cytomorphology method, infectious virus yield reduction assay and cell cycle analysis demonstrated the inhibitory effect of the 10S24 on the late phase of the HSV-1 and HAdV5 reproduction.Decreased activity of the substance was resulted by 16-57% compared to HSV-1 through the application of 10S-24 at mixed infection.The use of the ACV at mixed infection, reduces its activity against HSV-1 by 16 -46%.It was shown that compounds were not effective against HAdV5 at the mixed infection of cells.Further investigation is needed to explore the mechanisms of the loss of antiviral activity of compounds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.862 | 0.840 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".