Pol-Driven Replicative Capacity Impacts Disease Progression in HIV-1 Subtype C Infection
Bibliographic record
Abstract
Identification of viral mutations that compromise HIV's ability to replicate may aid rational vaccine design. However, while certain escape mutations in Gag have been shown to reduce HIV replication and influence clinical progression, less is known about the consequences of mutations that naturally arise in other HIV proteins. Pol is a highly conserved protein, but the impact of Pol function on HIV disease progression is not well defined. Here, we generated recombinant viruses using the RT-integrase region of Pol derived from HIV-1C-infected individuals with recent and chronic infection and measured their ability to replicate in vitro . We demonstrate that RT-integrase-driven replication ability significantly impacts HIV disease progression. We further show evidence of immune-mediated attenuation in RT-integrase and identify specific polymorphisms in RT-integrase that significantly decrease HIV-1 replication ability, suggesting which Pol epitopes could be explored in vaccine development.
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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) | 0.001 | 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".