Editorial: Precision vaccinology for infectious diseases
Bibliographic record
Abstract
Editorial on the Research Topic Precision vaccinology for infectious diseasesIn the ever-evolving landscape of infectious diseases, the quest for effective preventive measures has reached a pivotal stage.The rise of precision vaccinology signifies a groundbreaking shift in vaccination strategies, offering bespoke solutions that acknowledge the diversity of individual immune responses.This Research Topic of Frontiers in Immunology explored precision vaccinology, where distinct immunity in diverse vulnerable populations dynamic interplay of genes, proteins, and metabolites within the human body is leveraged to craft precise and potent vaccines against infectious pathogens.International researchers have joined forces to collaboratively advance precision vaccinology.Through original research, comprehensive reviews, and meticulously curated datasets, these esteemed experts shed light on the current challenges and opportunities in vaccine discovery and development, guiding the way towards immunization approaches tailored to meet the specific requirements of particular groups.Aiman et al. introduced a novel approach to counter the emerging threat of monkeypox virus (MPXV), that bears similarities to smallpox.Employing immune-informatics, they identified potential vaccine targets to enhance immunity against MPXV, employing diverse analyses to pinpoint three outer membrane and extracellular proteins.These selections were made based on criteria such as antigenicity and allergenicity, ensuring broad protection against various MPXV strains worldwide.They designed multi-epitope vaccine constructs, incorporating nine overlapping B-cell and T-cell epitopes coupled with suitable adjuvants to augment immune responses.Via molecular modeling and structural validation, the quality of the vaccine constructs was confirmed, with MPXV-V2 displaying promise for further exploration.This research lays a solid foundation for the development of novel safe and effective MPXV vaccines.Li et al. addressed the urgent challenge of duck cholera, a serious threat to the duck industry caused by Pasteurella multocida.Concentrating on the prevalent Type A serotype, they successfully cloned and expressed VacJ, PlpE, and OmpH proteins from P. multocida PMWSG-4 in E. coli.These engineered proteins, along with a single-phase water-in-oil adjuvants, triggered substantial antibody responses in vaccinated ducks.The adjuvant was Frontiers in Immunology frontiersin.
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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 | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.046 | 0.035 |
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".