Bibliographic record
Abstract
The success of gene therapy depends in part on our understanding of the biology of gene therapy vectors. This knowledge must be used to improve the function, safety, and versatility of the vector system. For decades, we have known which viral proteins are involved in formation of the adenovirus (Ad) capsid, but we are still learning how these proteins can be altered or manipulated to improve vector function. The Ad protein IX (pIX) was originally identified as a minor component of the Ad capsid, but was not essential for virion formation. However, more recent studies have suggested that pIX may have multiple roles in the Ad life cycle, including acting as a transcriptional activator and reorganizing nuclear proteins to provide an environment more conducive to virus replication. In gene therapy studies, removal of pIX from the Ad vector backbone was used to increase the cloning capacity of E1-deleted Ad vectors and to develop a new method for preparing helper-dependent Ad vectors. pIX has also been at the center of numerous attempts to eliminate the problem of replication-competent Ad in Ad vector preparations. Finally, pIX represents a versatile platform for the presentation of polypeptides on the surface of the viral capsid, including ligands for virus retargeting and fluorescent proteins for visualizing the virus in vitro and in vivo. Thus, the importance and uses of this "minor" capsid protein have changed significantly over the past few years.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".