Host viral protein-protein interaction in influenza A virus infection
Bibliographic record
Abstract
Influenza A virus is well known for its severe clinical consequences. Structurally, this virus is made up of a lipid bilayer embedded with HA, NA and M2 proteins and a core containing eight viral ribonucleoprotein (RNP) complexes. In a typical RNP complex, the nucleoprotein binds with RNA in a non specific manner. The nucleoprotein plays a vital role in transcription, replication, and packaging of RNA during infection. This study aims that NP of A/PR/8/34(H1N1) virus and A/NY/55/2004(H3N2) virus interact with different host proteins depending on cell lines and virus strains. Monoclonal antibodies targeting the nucleoprotein of these viruses have been used for immunoprecipitation and the interacting proteins were identified by mass spectrometry. Tow proteins from the cytoplasm (elongation factor 1 sigma, and Mov10 protein) and 3 proteins from the nucleus (heat shock protein70, hnRNP K protein, and anti alpha actinin 4) were found in all the viral infected cells, and were chosen for validation study. This study will help to understand the virus-host interactions in a better way and may open the gateway for the synthesis of new antiviral drugs which can block these interactions, hence controlling the infection.
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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) | 0.002 | 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".