Bibliographic record
Abstract
Zika Virus (ZV) has infected over one million people worldwide.ZV crosses the placenta, infects developing fetus and causes Congenital Zika Virus syndrome (CZS) including microcephaly in newborns.In this up-to-date review, ZV immunology and vaccine development have been discussed with cutting edge advancement in this discipline.ZV belongs to flavivirus genus, shares structural similarities with Dengue Virus (DENV) that are the mainstay for vaccine development research and consists of positive-sense RNA, a capsid with an outer shell.Humoral immune response against ZV results in generation of neutralizing and cross-reactive antibodies.The neutralizing antibodies are produced against its pre-membrane (prM) and envelope (E) proteins, however, the cross-reactive antibodies may interact with the antigens of other flaviviruses in addition to ZV itself resulting in the antibody dependent enhancement (ADE) phenomenon, a risk for DENV immune ZV vaccine candidates.The vaccines developed against ZV include subunit and live-attenuated vaccines.Subunit vaccines are DNA, modified mRNA and virus-like particles (VLP) vaccines.DNA vaccine, developed by incorporating E protein antigen genetic code into the plasmid, is under different phases of clinical trials.Nucleoside-modified ZV prM-E mRNA vaccine, enveloped in lipid nano particles (LPN), has successfully been studied in mice and nonhuman primates.Liveattenuated 10-deletion vaccine, consisting of mutant viral RNA genome, activates cellmediated and hum oral immune system.In conclusion, the ZV prospective vaccine must be safe enough for clinical trials, highly effective in generating neutralizing antibodies, free of ADE risk and compatible with variable transportation conditions.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".