Étude de l'infection par le métapneumovirus humain : facteurs de virulence et développement de vaccins vivants atténués
Bibliographic record
Abstract
Human metapneumovirus (hMPV) is a major pathogen responsible of acute respiratory tract infections, such as bronchiolitis or pneumonia, affecting especially infants, under five years old, elderly individuals and immunocompromised adults. Identified since 2001, this virus and its pathogenesis still remain largely unknown and no licensed vaccines or specific antivirals against hMPV are currently available. In this context, my research project was built over two main subjects: (i) The study of the fusion F glycoprotein which is the major antigenic protein of hMPV and is responsible of viral entry into host cell. By its crucial role for the virus, the F protein has already been characterized in several structural and/or functional studies. Thus, it has been described that the hMPV F protein induces membrane fusion autonomously, resulting in variable cytopathic effects in vitro, in a strain-dependent manner. However, as the determinants of the hMPV fusogenic activity are not well characterized yet, we focused on identification of some of these, located in heptad repeats domains of the protein. (ii) The evaluation of hMPV SH and G gene deletion for viral attenuation. Liveattenuated hMPV vaccine candidates for infants’ immunization has been constructed thank to this deletion approach at the beginning of hMPV vaccine development efforts. Despite encouraging results, these candidates have not been further characterized and the importance of the viral background has not been evaluated
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".